Overview

Dataset statistics

Number of variables 141
Number of observations 1276
Missing cells 58433
Missing cells (%) 32.5%
Duplicate rows 0
Duplicate rows (%) 0.0%
Total size in memory 1.4 MiB
Average record size in memory 1.1 KiB

Variable types

Numeric 5
Categorical 83
Boolean 53

Alerts

Start_/_Stop_Button has constant value "True" Constant
Aux-in_Compatibility has constant value "True" Constant
Average_Fuel_Consumption has constant value "True" Constant
Bluetooth has constant value "True" Constant
CD_/_MP3_/_DVD_Player has constant value "True" Constant
Central_Locking has constant value "True" Constant
Child_Safety_Locks has constant value "True" Constant
Distance_to_Empty has constant value "True" Constant
Engine_Malfunction_Light has constant value "True" Constant
FM_Radio has constant value "True" Constant
Low_Fuel_Warning has constant value "True" Constant
Multifunction_Display has constant value "True" Constant
Auto-Dimming_Rear-View_Mirror has constant value "True" Constant
Hill_Assist has constant value "True" Constant
Gear_Indicator has constant value "True" Constant
3_Point_Seat-Belt_in_Middle_Rear_Seat has constant value "True" Constant
Ambient_Lightning has constant value "True" Constant
Cargo/Boot_Lights has constant value "True" Constant
Engine_Immobilizer has constant value "True" Constant
High_Speed_Alert_System has constant value "True" Constant
Lane_Watch_Camera/_Side_Mirror_Camera has constant value "True" Constant
Passenger_Side_Seat-Belt_Reminder has constant value "True" Constant
Seat_Back_Pockets has constant value "True" Constant
Voice_Recognition has constant value "True" Constant
Walk_Away_Auto_Car_Lock has constant value "True" Constant
ABS_(Anti-lock_Braking_System) has constant value "True" Constant
Door_Ajar_Warning has constant value "True" Constant
EBD_(Electronic_Brake-force_Distribution) has constant value "True" Constant
Fasten_Seat_Belt_Warning has constant value "True" Constant
Gear_Shift_Reminder has constant value "True" Constant
Key_Off_Reminder has constant value "True" Constant
USB_Compatibility has constant value "True" Constant
Android_Auto has constant value "True" Constant
Apple_CarPlay has constant value "True" Constant
Cigarette_Lighter has constant value "True" Constant
Average_Speed has constant value "True" Constant
EBA_(Electronic_Brake_Assist) has constant value "True" Constant
Navigation_System has constant value "True" Constant
Second_Row_AC_Vents has constant value "True" Constant
Tyre_Pressure_Monitoring_System has constant value "True" Constant
iPod_Compatibility has constant value "True" Constant
ESP_(Electronic_Stability_Program) has constant value "True" Constant
Cooled_Glove_Box has constant value "True" Constant
Turbocharger has constant value "True" Constant
ISOFIX_(Child-Seat_Mount) has constant value "True" Constant
Rain_Sensing_Wipers has constant value "True" Constant
Paddle_Shifters has constant value "True" Constant
Leather_Wrapped_Steering has constant value "True" Constant
Automatic_Headlamps has constant value "True" Constant
ASR_/_Traction_Control has constant value "True" Constant
Cruise_Control has constant value "True" Constant
Heads-Up_Display has constant value "True" Constant
Welcome_Lights has constant value "True" Constant
Model has a high cardinality: 263 distinct values High cardinality
Variant has a high cardinality: 1064 distinct values High cardinality
Ex-Showroom_Price has a high cardinality: 1179 distinct values High cardinality
Displacement has a high cardinality: 129 distinct values High cardinality
Fuel_Tank_Capacity has a high cardinality: 63 distinct values High cardinality
Height has a high cardinality: 211 distinct values High cardinality
Length has a high cardinality: 228 distinct values High cardinality
Width has a high cardinality: 182 distinct values High cardinality
City_Mileage has a high cardinality: 164 distinct values High cardinality
Highway_Mileage has a high cardinality: 136 distinct values High cardinality
ARAI_Certified_Mileage has a high cardinality: 281 distinct values High cardinality
Kerb_Weight has a high cardinality: 336 distinct values High cardinality
Ground_Clearance has a high cardinality: 73 distinct values High cardinality
Front_Suspension has a high cardinality: 140 distinct values High cardinality
Rear_Suspension has a high cardinality: 173 distinct values High cardinality
Front_Track has a high cardinality: 99 distinct values High cardinality
Rear_Track has a high cardinality: 105 distinct values High cardinality
Front_Tyre_&_Rim has a high cardinality: 234 distinct values High cardinality
Rear_Tyre_&_Rim has a high cardinality: 241 distinct values High cardinality
Power has a high cardinality: 372 distinct values High cardinality
Torque has a high cardinality: 342 distinct values High cardinality
Wheelbase has a high cardinality: 153 distinct values High cardinality
Wheels_Size has a high cardinality: 209 distinct values High cardinality
Boot_Space has a high cardinality: 138 distinct values High cardinality
Minimum_Turning_Radius has a high cardinality: 61 distinct values High cardinality
Gross_Vehicle_Weight has a high cardinality: 172 distinct values High cardinality
Airbags has a high cardinality: 207 distinct values High cardinality
Compression_Ratio has a high cardinality: 66 distinct values High cardinality
Cylinders is highly correlated with Number_of_Airbags High correlation
Number_of_Airbags is highly correlated with Cylinders High correlation
Cylinders is highly correlated with Doors High correlation
Doors is highly correlated with Cylinders and 1 other fields High correlation
Seating_Capacity is highly correlated with Doors High correlation
Cylinders is highly correlated with Number_of_Airbags High correlation
Number_of_Airbags is highly correlated with Cylinders High correlation
Unnamed: 0 is highly correlated with Make and 33 other fields High correlation
Make is highly correlated with Unnamed: 0 and 61 other fields High correlation
Cylinders is highly correlated with Unnamed: 0 and 29 other fields High correlation
Valves_Per_Cylinder is highly correlated with Make and 11 other fields High correlation
Drivetrain is highly correlated with Unnamed: 0 and 30 other fields High correlation
Cylinder_Configuration is highly correlated with Make and 26 other fields High correlation
Emission_Norm is highly correlated with Make and 12 other fields High correlation
Engine_Location is highly correlated with Make and 20 other fields High correlation
Fuel_System is highly correlated with Make and 6 other fields High correlation
Fuel_Tank_Capacity is highly correlated with Unnamed: 0 and 59 other fields High correlation
Fuel_Type is highly correlated with Make and 12 other fields High correlation
Body_Type is highly correlated with Unnamed: 0 and 31 other fields High correlation
Doors is highly correlated with Make and 22 other fields High correlation
ARAI_Certified_Mileage_for_CNG is highly correlated with Unnamed: 0 and 48 other fields High correlation
Gears is highly correlated with Unnamed: 0 and 32 other fields High correlation
Ground_Clearance is highly correlated with Unnamed: 0 and 57 other fields High correlation
Front_Brakes is highly correlated with Make and 10 other fields High correlation
Rear_Brakes is highly correlated with Unnamed: 0 and 24 other fields High correlation
Front_Track is highly correlated with Unnamed: 0 and 59 other fields High correlation
Power_Steering is highly correlated with Make and 20 other fields High correlation
Power_Windows is highly correlated with Make and 8 other fields High correlation
Power_Seats is highly correlated with Make and 10 other fields High correlation
Keyless_Entry is highly correlated with Unnamed: 0 and 19 other fields High correlation
Odometer is highly correlated with Make and 18 other fields High correlation
Speedometer is highly correlated with Make and 13 other fields High correlation
Tachometer is highly correlated with Make and 16 other fields High correlation
Tripmeter is highly correlated with Make and 11 other fields High correlation
Seating_Capacity is highly correlated with Make and 20 other fields High correlation
Seats_Material is highly correlated with Unnamed: 0 and 27 other fields High correlation
Type is highly correlated with Unnamed: 0 and 16 other fields High correlation
12v_Power_Outlet is highly correlated with Unnamed: 0 and 13 other fields High correlation
Audiosystem is highly correlated with Make and 21 other fields High correlation
Basic_Warranty is highly correlated with Unnamed: 0 and 58 other fields High correlation
Boot-lid_Opener is highly correlated with Make and 18 other fields High correlation
Clock is highly correlated with Make and 13 other fields High correlation
Cup_Holders is highly correlated with Make and 23 other fields High correlation
Door_Pockets is highly correlated with Make and 16 other fields High correlation
Extended_Warranty is highly correlated with Unnamed: 0 and 51 other fields High correlation
Fuel-lid_Opener is highly correlated with Make and 27 other fields High correlation
Fuel_Gauge is highly correlated with Make and 16 other fields High correlation
Handbrake is highly correlated with Unnamed: 0 and 28 other fields High correlation
Instrument_Console is highly correlated with Make and 15 other fields High correlation
Minimum_Turning_Radius is highly correlated with Unnamed: 0 and 58 other fields High correlation
Sun_Visor is highly correlated with Make and 7 other fields High correlation
Third_Row_AC_Vents is highly correlated with Unnamed: 0 and 13 other fields High correlation
Ventilation_System is highly correlated with Unnamed: 0 and 31 other fields High correlation
Drive_Modes is highly correlated with Unnamed: 0 and 47 other fields High correlation
Headlight_Reminder is highly correlated with Gears and 2 other fields High correlation
Adjustable_Headrests is highly correlated with Make and 12 other fields High correlation
Number_of_Airbags is highly correlated with Unnamed: 0 and 28 other fields High correlation
Compression_Ratio is highly correlated with Unnamed: 0 and 57 other fields High correlation
Adjustable_Steering_Column is highly correlated with Unnamed: 0 and 23 other fields High correlation
Other_Specs is highly correlated with Unnamed: 0 and 32 other fields High correlation
Other_specs is highly correlated with Unnamed: 0 and 30 other fields High correlation
Parking_Assistance is highly correlated with Unnamed: 0 and 25 other fields High correlation
Infotainment_Screen is highly correlated with ARAI_Certified_Mileage_for_CNG and 6 other fields High correlation
Multifunction_Steering_Wheel is highly correlated with Make and 12 other fields High correlation
Seat_Height_Adjustment is highly correlated with Unnamed: 0 and 28 other fields High correlation
Rear_Center_Armrest is highly correlated with Make and 11 other fields High correlation
Recommended_Tyre_Pressure is highly correlated with Unnamed: 0 and 11 other fields High correlation
Heated_Seats is highly correlated with Unnamed: 0 and 20 other fields High correlation
Engine_Type is highly correlated with Unnamed: 0 and 46 other fields High correlation
USB_Ports is highly correlated with Unnamed: 0 and 28 other fields High correlation
Battery is highly correlated with Unnamed: 0 and 33 other fields High correlation
Electric_Range is highly correlated with Unnamed: 0 and 46 other fields High correlation
Make has 75 (5.9%) missing values Missing
Cylinders has 66 (5.2%) missing values Missing
Valves_Per_Cylinder has 102 (8.0%) missing values Missing
Cylinder_Configuration has 13 (1.0%) missing values Missing
Engine_Location has 43 (3.4%) missing values Missing
Fuel_Tank_Capacity has 69 (5.4%) missing values Missing
City_Mileage has 555 (43.5%) missing values Missing
Highway_Mileage has 800 (62.7%) missing values Missing
ARAI_Certified_Mileage has 114 (8.9%) missing values Missing
ARAI_Certified_Mileage_for_CNG has 1249 (97.9%) missing values Missing
Kerb_Weight has 365 (28.6%) missing values Missing
Gears has 105 (8.2%) missing values Missing
Ground_Clearance has 289 (22.6%) missing values Missing
Front_Brakes has 25 (2.0%) missing values Missing
Rear_Brakes has 25 (2.0%) missing values Missing
Front_Suspension has 59 (4.6%) missing values Missing
Rear_Suspension has 46 (3.6%) missing values Missing
Front_Track has 667 (52.3%) missing values Missing
Rear_Track has 676 (53.0%) missing values Missing
Front_Tyre_&_Rim has 49 (3.8%) missing values Missing
Rear_Tyre_&_Rim has 48 (3.8%) missing values Missing
Power_Steering has 57 (4.5%) missing values Missing
Power_Windows has 97 (7.6%) missing values Missing
Power_Seats has 893 (70.0%) missing values Missing
Keyless_Entry has 274 (21.5%) missing values Missing
Odometer has 43 (3.4%) missing values Missing
Speedometer has 45 (3.5%) missing values Missing
Tachometer has 13 (1.0%) missing values Missing
Tripmeter has 60 (4.7%) missing values Missing
Wheelbase has 20 (1.6%) missing values Missing
Wheels_Size has 56 (4.4%) missing values Missing
Start_/_Stop_Button has 678 (53.1%) missing values Missing
12v_Power_Outlet has 154 (12.1%) missing values Missing
Audiosystem has 44 (3.4%) missing values Missing
Aux-in_Compatibility has 284 (22.3%) missing values Missing
Average_Fuel_Consumption has 345 (27.0%) missing values Missing
Basic_Warranty has 440 (34.5%) missing values Missing
Bluetooth has 292 (22.9%) missing values Missing
Boot-lid_Opener has 14 (1.1%) missing values Missing
Boot_Space has 249 (19.5%) missing values Missing
CD_/_MP3_/_DVD_Player has 309 (24.2%) missing values Missing
Central_Locking has 149 (11.7%) missing values Missing
Child_Safety_Locks has 75 (5.9%) missing values Missing
Clock has 134 (10.5%) missing values Missing
Cup_Holders has 41 (3.2%) missing values Missing
Distance_to_Empty has 243 (19.0%) missing values Missing
Door_Pockets has 117 (9.2%) missing values Missing
Engine_Malfunction_Light has 117 (9.2%) missing values Missing
Extended_Warranty has 661 (51.8%) missing values Missing
FM_Radio has 249 (19.5%) missing values Missing
Fuel-lid_Opener has 14 (1.1%) missing values Missing
Fuel_Gauge has 39 (3.1%) missing values Missing
Handbrake has 57 (4.5%) missing values Missing
Instrument_Console has 14 (1.1%) missing values Missing
Low_Fuel_Warning has 36 (2.8%) missing values Missing
Minimum_Turning_Radius has 381 (29.9%) missing values Missing
Multifunction_Display has 89 (7.0%) missing values Missing
Sun_Visor has 62 (4.9%) missing values Missing
Third_Row_AC_Vents has 366 (28.7%) missing values Missing
Ventilation_System has 35 (2.7%) missing values Missing
Auto-Dimming_Rear-View_Mirror has 620 (48.6%) missing values Missing
Hill_Assist has 796 (62.4%) missing values Missing
Gear_Indicator has 499 (39.1%) missing values Missing
3_Point_Seat-Belt_in_Middle_Rear_Seat has 1225 (96.0%) missing values Missing
Ambient_Lightning has 1220 (95.6%) missing values Missing
Cargo/Boot_Lights has 1155 (90.5%) missing values Missing
Drive_Modes has 1081 (84.7%) missing values Missing
Engine_Immobilizer has 60 (4.7%) missing values Missing
High_Speed_Alert_System has 1068 (83.7%) missing values Missing
Lane_Watch_Camera/_Side_Mirror_Camera has 1210 (94.8%) missing values Missing
Passenger_Side_Seat-Belt_Reminder has 1105 (86.6%) missing values Missing
Seat_Back_Pockets has 443 (34.7%) missing values Missing
Voice_Recognition has 1144 (89.7%) missing values Missing
Walk_Away_Auto_Car_Lock has 1173 (91.9%) missing values Missing
ABS_(Anti-lock_Braking_System) has 132 (10.3%) missing values Missing
Headlight_Reminder has 258 (20.2%) missing values Missing
Adjustable_Headrests has 250 (19.6%) missing values Missing
Gross_Vehicle_Weight has 595 (46.6%) missing values Missing
Airbags has 132 (10.3%) missing values Missing
Door_Ajar_Warning has 143 (11.2%) missing values Missing
EBD_(Electronic_Brake-force_Distribution) has 201 (15.8%) missing values Missing
Fasten_Seat_Belt_Warning has 190 (14.9%) missing values Missing
Gear_Shift_Reminder has 543 (42.6%) missing values Missing
Number_of_Airbags has 135 (10.6%) missing values Missing
Compression_Ratio has 917 (71.9%) missing values Missing
Adjustable_Steering_Column has 191 (15.0%) missing values Missing
Other_Specs has 1266 (99.2%) missing values Missing
Other_specs has 1213 (95.1%) missing values Missing
Parking_Assistance has 290 (22.7%) missing values Missing
Key_Off_Reminder has 340 (26.6%) missing values Missing
USB_Compatibility has 267 (20.9%) missing values Missing
Android_Auto has 1103 (86.4%) missing values Missing
Apple_CarPlay has 1103 (86.4%) missing values Missing
Cigarette_Lighter has 682 (53.4%) missing values Missing
Infotainment_Screen has 462 (36.2%) missing values Missing
Multifunction_Steering_Wheel has 351 (27.5%) missing values Missing
Average_Speed has 512 (40.1%) missing values Missing
EBA_(Electronic_Brake_Assist) has 690 (54.1%) missing values Missing
Seat_Height_Adjustment has 326 (25.5%) missing values Missing
Navigation_System has 593 (46.5%) missing values Missing
Second_Row_AC_Vents has 602 (47.2%) missing values Missing
Tyre_Pressure_Monitoring_System has 936 (73.4%) missing values Missing
Rear_Center_Armrest has 559 (43.8%) missing values Missing
iPod_Compatibility has 663 (52.0%) missing values Missing
ESP_(Electronic_Stability_Program) has 779 (61.1%) missing values Missing
Cooled_Glove_Box has 645 (50.5%) missing values Missing
Recommended_Tyre_Pressure has 1266 (99.2%) missing values Missing
Heated_Seats has 1010 (79.2%) missing values Missing
Turbocharger has 618 (48.4%) missing values Missing
ISOFIX_(Child-Seat_Mount) has 666 (52.2%) missing values Missing
Rain_Sensing_Wipers has 798 (62.5%) missing values Missing
Paddle_Shifters has 972 (76.2%) missing values Missing
Leather_Wrapped_Steering has 689 (54.0%) missing values Missing
Automatic_Headlamps has 774 (60.7%) missing values Missing
Engine_Type has 1242 (97.3%) missing values Missing
ASR_/_Traction_Control has 834 (65.4%) missing values Missing
Cruise_Control has 727 (57.0%) missing values Missing
USB_Ports has 1247 (97.7%) missing values Missing
Heads-Up_Display has 1225 (96.0%) missing values Missing
Welcome_Lights has 1207 (94.6%) missing values Missing
Battery has 1263 (99.0%) missing values Missing
Electric_Range has 1259 (98.7%) missing values Missing
Unnamed: 0 is uniformly distributed Uniform
Variant is uniformly distributed Uniform
Ex-Showroom_Price is uniformly distributed Uniform
Unnamed: 0 has unique values Unique

Reproduction

Analysis started 2022-05-21 19:39:01.058620
Analysis finished 2022-05-21 19:40:23.107279
Duration 1 minute and 22.05 seconds
Software version pandas-profiling v3.2.0
Download configuration config.json

Variables

Unnamed: 0
Real number (ℝ≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct 1276
Distinct (%) 100.0%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 637.5
Minimum 0
Maximum 1275
Zeros 1
Zeros (%) 0.1%
Negative 0
Negative (%) 0.0%
Memory size 10.1 KiB
2022-05-22T01:10:23.672458 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum 0
5-th percentile 63.75
Q1 318.75
median 637.5
Q3 956.25
95-th percentile 1211.25
Maximum 1275
Range 1275
Interquartile range (IQR) 637.5

Descriptive statistics

Standard deviation 368.493781
Coefficient of variation (CV) 0.5780294605
Kurtosis -1.2
Mean 637.5
Median Absolute Deviation (MAD) 319
Skewness 0
Sum 813450
Variance 135787.6667
Monotonicity Strictly increasing
2022-05-22T01:10:24.096429 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0 1
 
0.1%
848 1
 
0.1%
855 1
 
0.1%
854 1
 
0.1%
853 1
 
0.1%
852 1
 
0.1%
851 1
 
0.1%
850 1
 
0.1%
849 1
 
0.1%
847 1
 
0.1%
Other values (1266) 1266
99.2%
Value Count Frequency (%)
0 1
0.1%
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
Value Count Frequency (%)
1275 1
0.1%
1274 1
0.1%
1273 1
0.1%
1272 1
0.1%
1271 1
0.1%
1270 1
0.1%
1269 1
0.1%
1268 1
0.1%
1267 1
0.1%
1266 1
0.1%

Make
Categorical

HIGH CORRELATION
MISSING

Distinct 39
Distinct (%) 3.2%
Missing 75
Missing (%) 5.9%
Memory size 10.1 KiB
Maruti Suzuki
149 
Hyundai
130 
Mahindra
119 
Tata
100 
Toyota
82 
Other values (34)
621 

Length

Max length 16
Median length 12
Mean length 7.09408826
Min length 2

Characters and Unicode

Total characters 8520
Distinct characters 41
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Tata
2nd row Tata
3rd row Tata
4th row Tata
5th row Tata

Common Values

Value Count Frequency (%)
Maruti Suzuki 149
 
11.7%
Hyundai 130
 
10.2%
Mahindra 119
 
9.3%
Tata 100
 
7.8%
Toyota 82
 
6.4%
Honda 64
 
5.0%
Skoda 43
 
3.4%
Ford 43
 
3.4%
Bmw 37
 
2.9%
Renault 36
 
2.8%
Other values (29) 398
31.2%
(Missing) 75
 
5.9%

Length

2022-05-22T01:10:24.483863 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
maruti 163
 
11.3%
suzuki 163
 
11.3%
hyundai 130
 
9.0%
mahindra 119
 
8.2%
tata 100
 
6.9%
toyota 82
 
5.7%
honda 64
 
4.4%
rover 64
 
4.4%
skoda 43
 
3.0%
ford 43
 
3.0%
Other values (31) 474
32.8%

Most occurring characters

Value Count Frequency (%)
a 1207
14.2%
i 774
 
9.1%
u 752
 
8.8%
n 499
 
5.9%
r 492
 
5.8%
o 484
 
5.7%
d 467
 
5.5%
t 451
 
5.3%
M 324
 
3.8%
e 261
 
3.1%
Other values (31) 2809
33.0%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6831
80.2%
Uppercase Letter 1445
 
17.0%
Space Separator 244
 
2.9%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
a 1207
17.7%
i 774
11.3%
u 752
11.0%
n 499
7.3%
r 492
7.2%
o 484
7.1%
d 467
 
6.8%
t 451
 
6.6%
e 261
 
3.8%
k 240
 
3.5%
Other values (14) 1204
17.6%
Uppercase Letter
Value Count Frequency (%)
M 324
22.4%
S 206
14.3%
H 194
13.4%
T 182
12.6%
R 114
 
7.9%
F 80
 
5.5%
L 60
 
4.2%
V 52
 
3.6%
J 50
 
3.5%
B 47
 
3.3%
Other values (6) 136
9.4%
Space Separator
Value Count Frequency (%)
244
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 8276
97.1%
Common 244
 
2.9%

Most frequent character per script

Latin
Value Count Frequency (%)
a 1207
14.6%
i 774
 
9.4%
u 752
 
9.1%
n 499
 
6.0%
r 492
 
5.9%
o 484
 
5.8%
d 467
 
5.6%
t 451
 
5.4%
M 324
 
3.9%
e 261
 
3.2%
Other values (30) 2565
31.0%
Common
Value Count Frequency (%)
244
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8520
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
a 1207
14.2%
i 774
 
9.1%
u 752
 
8.8%
n 499
 
5.9%
r 492
 
5.8%
o 484
 
5.7%
d 467
 
5.5%
t 451
 
5.3%
M 324
 
3.8%
e 261
 
3.1%
Other values (31) 2809
33.0%

Model
Categorical

HIGH CARDINALITY

Distinct 263
Distinct (%) 20.6%
Missing 0
Missing (%) 0.0%
Memory size 10.1 KiB
Nexon
 
24
Kuv100 Nxt
 
22
Compass
 
21
Xuv500
 
21
Amaze
 
20
Other values (258)
1168 

Length

Max length 33
Median length 26
Mean length 7.568965517
Min length 2

Characters and Unicode

Total characters 9658
Distinct characters 67
Distinct categories 8 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 67 ?
Unique (%) 5.3%

Sample

1st row Nano Genx
2nd row Nano Genx
3rd row Nano Genx
4th row Nano Genx
5th row Nano Genx

Common Values

Value Count Frequency (%)
Nexon 24
 
1.9%
Kuv100 Nxt 22
 
1.7%
Compass 21
 
1.6%
Xuv500 21
 
1.6%
Amaze 20
 
1.6%
Creta 18
 
1.4%
Seltos 16
 
1.3%
Innova Crysta 16
 
1.3%
Ciaz 14
 
1.1%
Swift 14
 
1.1%
Other values (253) 1090
85.4%

Length

2022-05-22T01:10:24.868998 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mercedes-benz 57
 
3.4%
etios 30
 
1.8%
nexon 27
 
1.6%
range 27
 
1.6%
grand 26
 
1.5%
compass 23
 
1.4%
nxt 22
 
1.3%
i10 22
 
1.3%
kuv100 22
 
1.3%
xuv500 21
 
1.2%
Other values (279) 1404
83.5%

Most occurring characters

Value Count Frequency (%)
e 897
 
9.3%
r 695
 
7.2%
o 671
 
6.9%
a 656
 
6.8%
s 519
 
5.4%
i 460
 
4.8%
t 459
 
4.8%
n 450
 
4.7%
405
 
4.2%
l 302
 
3.1%
Other values (57) 4144
42.9%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6778
70.2%
Uppercase Letter 1824
 
18.9%
Decimal Number 464
 
4.8%
Space Separator 405
 
4.2%
Dash Punctuation 174
 
1.8%
Math Symbol 9
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 897
13.2%
r 695
10.3%
o 671
9.9%
a 656
9.7%
s 519
 
7.7%
i 460
 
6.8%
t 459
 
6.8%
n 450
 
6.6%
l 302
 
4.5%
u 241
 
3.6%
Other values (16) 1428
21.1%
Uppercase Letter
Value Count Frequency (%)
C 247
13.5%
S 137
 
7.5%
A 124
 
6.8%
E 123
 
6.7%
B 113
 
6.2%
G 105
 
5.8%
X 103
 
5.6%
M 88
 
4.8%
P 86
 
4.7%
V 85
 
4.7%
Other values (16) 613
33.6%
Decimal Number
Value Count Frequency (%)
0 211
45.5%
1 64
 
13.8%
5 46
 
9.9%
3 40
 
8.6%
4 26
 
5.6%
2 20
 
4.3%
7 18
 
3.9%
6 16
 
3.4%
8 14
 
3.0%
9 9
 
1.9%
Space Separator
Value Count Frequency (%)
405
100.0%
Dash Punctuation
Value Count Frequency (%)
- 174
100.0%
Math Symbol
Value Count Frequency (%)
+ 9
100.0%
Open Punctuation
Value Count Frequency (%)
( 2
100.0%
Close Punctuation
Value Count Frequency (%)
) 2
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 8602
89.1%
Common 1056
 
10.9%

Most frequent character per script

Latin
Value Count Frequency (%)
e 897
 
10.4%
r 695
 
8.1%
o 671
 
7.8%
a 656
 
7.6%
s 519
 
6.0%
i 460
 
5.3%
t 459
 
5.3%
n 450
 
5.2%
l 302
 
3.5%
C 247
 
2.9%
Other values (42) 3246
37.7%
Common
Value Count Frequency (%)
405
38.4%
0 211
20.0%
- 174
16.5%
1 64
 
6.1%
5 46
 
4.4%
3 40
 
3.8%
4 26
 
2.5%
2 20
 
1.9%
7 18
 
1.7%
6 16
 
1.5%
Other values (5) 36
 
3.4%

Most occurring blocks

Value Count Frequency (%)
ASCII 9658
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 897
 
9.3%
r 695
 
7.2%
o 671
 
6.9%
a 656
 
6.8%
s 519
 
5.4%
i 460
 
4.8%
t 459
 
4.8%
n 450
 
4.7%
405
 
4.2%
l 302
 
3.1%
Other values (57) 4144
42.9%

Variant
Categorical

HIGH CARDINALITY
UNIFORM

Distinct 1064
Distinct (%) 83.4%
Missing 0
Missing (%) 0.0%
Memory size 10.1 KiB
Lxi
 
9
Vxi
 
9
Coupe
 
8
S
 
7
V8
 
6
Other values (1059)
1237 

Length

Max length 38
Median length 27
Mean length 11.98275862
Min length 1

Characters and Unicode

Total characters 15290
Distinct characters 68
Distinct categories 9 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 934 ?
Unique (%) 73.2%

Sample

1st row Xt
2nd row Xe
3rd row Emax Xm
4th row Xta
5th row Xm

Common Values

Value Count Frequency (%)
Lxi 9
 
0.7%
Vxi 9
 
0.7%
Coupe 8
 
0.6%
S 7
 
0.5%
V8 6
 
0.5%
Xe Diesel 6
 
0.5%
V 5
 
0.4%
Zxi 5
 
0.4%
Xe Petrol 4
 
0.3%
S Petrol 4
 
0.3%
Other values (1054) 1213
95.1%

Length

2022-05-22T01:10:25.274280 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
diesel 112
 
3.3%
plus 105
 
3.1%
petrol 94
 
2.7%
at 92
 
2.7%
o 91
 
2.7%
1.2 75
 
2.2%
mt 67
 
2.0%
s 55
 
1.6%
1.5 44
 
1.3%
2.0 43
 
1.3%
Other values (438) 2648
77.3%

Most occurring characters

Value Count Frequency (%)
2150
 
14.1%
t 981
 
6.4%
i 895
 
5.9%
e 873
 
5.7%
r 592
 
3.9%
l 543
 
3.6%
o 492
 
3.2%
. 422
 
2.8%
s 418
 
2.7%
n 368
 
2.4%
Other values (58) 7556
49.4%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 7784
50.9%
Uppercase Letter 3035
 
19.8%
Space Separator 2150
 
14.1%
Decimal Number 1556
 
10.2%
Other Punctuation 426
 
2.8%
Open Punctuation 129
 
0.8%
Close Punctuation 123
 
0.8%
Dash Punctuation 51
 
0.3%
Math Symbol 36
 
0.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
t 981
12.6%
i 895
11.5%
e 873
11.2%
r 592
 
7.6%
l 543
 
7.0%
o 492
 
6.3%
s 418
 
5.4%
n 368
 
4.7%
d 365
 
4.7%
a 350
 
4.5%
Other values (16) 1907
24.5%
Uppercase Letter
Value Count Frequency (%)
S 350
11.5%
D 303
10.0%
P 285
9.4%
T 259
 
8.5%
A 231
 
7.6%
L 212
 
7.0%
V 195
 
6.4%
C 194
 
6.4%
X 177
 
5.8%
M 134
 
4.4%
Other values (15) 695
22.9%
Decimal Number
Value Count Frequency (%)
1 358
23.0%
2 283
18.2%
0 245
15.7%
4 167
10.7%
5 165
10.6%
3 93
 
6.0%
6 93
 
6.0%
8 89
 
5.7%
7 49
 
3.1%
9 14
 
0.9%
Other Punctuation
Value Count Frequency (%)
. 422
99.1%
& 4
 
0.9%
Space Separator
Value Count Frequency (%)
2150
100.0%
Open Punctuation
Value Count Frequency (%)
( 129
100.0%
Close Punctuation
Value Count Frequency (%)
) 123
100.0%
Dash Punctuation
Value Count Frequency (%)
- 51
100.0%
Math Symbol
Value Count Frequency (%)
+ 36
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 10819
70.8%
Common 4471
29.2%

Most frequent character per script

Latin
Value Count Frequency (%)
t 981
 
9.1%
i 895
 
8.3%
e 873
 
8.1%
r 592
 
5.5%
l 543
 
5.0%
o 492
 
4.5%
s 418
 
3.9%
n 368
 
3.4%
d 365
 
3.4%
S 350
 
3.2%
Other values (41) 4942
45.7%
Common
Value Count Frequency (%)
2150
48.1%
. 422
 
9.4%
1 358
 
8.0%
2 283
 
6.3%
0 245
 
5.5%
4 167
 
3.7%
5 165
 
3.7%
( 129
 
2.9%
) 123
 
2.8%
3 93
 
2.1%
Other values (7) 336
 
7.5%

Most occurring blocks

Value Count Frequency (%)
ASCII 15290
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
2150
 
14.1%
t 981
 
6.4%
i 895
 
5.9%
e 873
 
5.7%
r 592
 
3.9%
l 543
 
3.6%
o 492
 
3.2%
. 422
 
2.8%
s 418
 
2.7%
n 368
 
2.4%
Other values (58) 7556
49.4%

Ex-Showroom_Price
Categorical

HIGH CARDINALITY
UNIFORM

Distinct 1179
Distinct (%) 92.4%
Missing 0
Missing (%) 0.0%
Memory size 10.1 KiB
Rs. 9,99,900
 
14
Rs. 9,99,990
 
4
Rs. 9,89,000
 
3
Rs. 9,25,000
 
3
Rs. 7,45,000
 
3
Other values (1174)
1249 

Length

Max length 16
Median length 15
Mean length 12.72648903
Min length 12

Characters and Unicode

Total characters 16239
Distinct characters 15
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1099 ?
Unique (%) 86.1%

Sample

1st row Rs. 2,92,667
2nd row Rs. 2,36,447
3rd row Rs. 2,96,661
4th row Rs. 3,34,768
5th row Rs. 2,72,223

Common Values

Value Count Frequency (%)
Rs. 9,99,900 14
 
1.1%
Rs. 9,99,990 4
 
0.3%
Rs. 9,89,000 3
 
0.2%
Rs. 9,25,000 3
 
0.2%
Rs. 7,45,000 3
 
0.2%
Rs. 1,35,10,000 2
 
0.2%
Rs. 10,90,000 2
 
0.2%
Rs. 42,40,000 2
 
0.2%
Rs. 32,33,000 2
 
0.2%
Rs. 34,20,000 2
 
0.2%
Other values (1169) 1239
97.1%

Length

2022-05-22T01:10:25.659150 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
rs 1276
50.0%
9,99,900 14
 
0.5%
9,99,990 4
 
0.2%
9,89,000 3
 
0.1%
9,25,000 3
 
0.1%
7,45,000 3
 
0.1%
9,50,000 2
 
0.1%
14,49,500 2
 
0.1%
16,10,180 2
 
0.1%
9,99,000 2
 
0.1%
Other values (1170) 1241
48.6%

Most occurring characters

Value Count Frequency (%)
, 2681
16.5%
0 2372
14.6%
R 1276
7.9%
s 1276
7.9%
. 1276
7.9%
1276
7.9%
9 1005
 
6.2%
1 849
 
5.2%
5 704
 
4.3%
2 632
 
3.9%
Other values (5) 2892
17.8%

Most occurring categories

Value Count Frequency (%)
Decimal Number 8454
52.1%
Other Punctuation 3957
24.4%
Uppercase Letter 1276
 
7.9%
Lowercase Letter 1276
 
7.9%
Space Separator 1276
 
7.9%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
0 2372
28.1%
9 1005
11.9%
1 849
 
10.0%
5 704
 
8.3%
2 632
 
7.5%
3 620
 
7.3%
8 591
 
7.0%
6 566
 
6.7%
7 565
 
6.7%
4 550
 
6.5%
Other Punctuation
Value Count Frequency (%)
, 2681
67.8%
. 1276
32.2%
Uppercase Letter
Value Count Frequency (%)
R 1276
100.0%
Lowercase Letter
Value Count Frequency (%)
s 1276
100.0%
Space Separator
Value Count Frequency (%)
1276
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 13687
84.3%
Latin 2552
 
15.7%

Most frequent character per script

Common
Value Count Frequency (%)
, 2681
19.6%
0 2372
17.3%
. 1276
9.3%
1276
9.3%
9 1005
 
7.3%
1 849
 
6.2%
5 704
 
5.1%
2 632
 
4.6%
3 620
 
4.5%
8 591
 
4.3%
Other values (3) 1681
12.3%
Latin
Value Count Frequency (%)
R 1276
50.0%
s 1276
50.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 16239
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
, 2681
16.5%
0 2372
14.6%
R 1276
7.9%
s 1276
7.9%
. 1276
7.9%
1276
7.9%
9 1005
 
6.2%
1 849
 
5.2%
5 704
 
4.3%
2 632
 
3.9%
Other values (5) 2892
17.8%

Displacement
Categorical

HIGH CARDINALITY

Distinct 129
Distinct (%) 10.2%
Missing 12
Missing (%) 0.9%
Memory size 10.1 KiB
1197 cc
108 
1498 cc
 
87
1248 cc
 
62
1198 cc
 
58
1497 cc
 
56
Other values (124)
893 

Length

Max length 7
Median length 7
Mean length 6.915348101
Min length 5

Characters and Unicode

Total characters 8741
Distinct characters 12
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 29 ?
Unique (%) 2.3%

Sample

1st row 624 cc
2nd row 624 cc
3rd row 624 cc
4th row 624 cc
5th row 624 cc

Common Values

Value Count Frequency (%)
1197 cc 108
 
8.5%
1498 cc 87
 
6.8%
1248 cc 62
 
4.9%
1198 cc 58
 
4.5%
1497 cc 56
 
4.4%
998 cc 53
 
4.2%
2179 cc 46
 
3.6%
1199 cc 39
 
3.1%
1461 cc 38
 
3.0%
1968 cc 29
 
2.3%
Other values (119) 688
53.9%

Length

2022-05-22T01:10:26.032446 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
cc 1264
50.0%
1197 108
 
4.3%
1498 87
 
3.4%
1248 62
 
2.5%
1198 58
 
2.3%
1497 56
 
2.2%
998 53
 
2.1%
2179 46
 
1.8%
1199 39
 
1.5%
1461 38
 
1.5%
Other values (120) 717
28.4%

Most occurring characters

Value Count Frequency (%)
c 2528
28.9%
9 1326
15.2%
1264
14.5%
1 1259
14.4%
4 453
 
5.2%
8 441
 
5.0%
2 352
 
4.0%
7 336
 
3.8%
6 285
 
3.3%
3 205
 
2.3%
Other values (2) 292
 
3.3%

Most occurring categories

Value Count Frequency (%)
Decimal Number 4949
56.6%
Lowercase Letter 2528
28.9%
Space Separator 1264
 
14.5%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
9 1326
26.8%
1 1259
25.4%
4 453
 
9.2%
8 441
 
8.9%
2 352
 
7.1%
7 336
 
6.8%
6 285
 
5.8%
3 205
 
4.1%
5 201
 
4.1%
0 91
 
1.8%
Lowercase Letter
Value Count Frequency (%)
c 2528
100.0%
Space Separator
Value Count Frequency (%)
1264
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 6213
71.1%
Latin 2528
28.9%

Most frequent character per script

Common
Value Count Frequency (%)
9 1326
21.3%
1264
20.3%
1 1259
20.3%
4 453
 
7.3%
8 441
 
7.1%
2 352
 
5.7%
7 336
 
5.4%
6 285
 
4.6%
3 205
 
3.3%
5 201
 
3.2%
Latin
Value Count Frequency (%)
c 2528
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8741
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
c 2528
28.9%
9 1326
15.2%
1264
14.5%
1 1259
14.4%
4 453
 
5.2%
8 441
 
5.0%
2 352
 
4.0%
7 336
 
3.8%
6 285
 
3.3%
3 205
 
2.3%
Other values (2) 292
 
3.3%

Cylinders
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct 9
Distinct (%) 0.7%
Missing 66
Missing (%) 5.2%
Infinite 0
Infinite (%) 0.0%
Mean 4.380991736
Minimum 2
Maximum 16
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 10.1 KiB
2022-05-22T01:10:26.361712 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum 2
5-th percentile 3
Q1 4
median 4
Q3 4
95-th percentile 8
Maximum 16
Range 14
Interquartile range (IQR) 0

Descriptive statistics

Standard deviation 1.660957005
Coefficient of variation (CV) 0.3791280845
Kurtosis 10.97127808
Mean 4.380991736
Median Absolute Deviation (MAD) 0
Skewness 2.979321847
Sum 5301
Variance 2.758778172
Monotonicity Not monotonic
2022-05-22T01:10:26.703994 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
Value Count Frequency (%)
4 789
61.8%
3 213
 
16.7%
6 106
 
8.3%
8 53
 
4.2%
12 21
 
1.6%
5 10
 
0.8%
10 10
 
0.8%
2 6
 
0.5%
16 2
 
0.2%
(Missing) 66
 
5.2%
Value Count Frequency (%)
2 6
 
0.5%
3 213
 
16.7%
4 789
61.8%
5 10
 
0.8%
6 106
 
8.3%
8 53
 
4.2%
10 10
 
0.8%
12 21
 
1.6%
16 2
 
0.2%
Value Count Frequency (%)
16 2
 
0.2%
12 21
 
1.6%
10 10
 
0.8%
8 53
 
4.2%
6 106
 
8.3%
5 10
 
0.8%
4 789
61.8%
3 213
 
16.7%
2 6
 
0.5%

Valves_Per_Cylinder
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct 8
Distinct (%) 0.7%
Missing 102
Missing (%) 8.0%
Infinite 0
Infinite (%) 0.0%
Mean 3.977853492
Minimum 1
Maximum 16
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 10.1 KiB
2022-05-22T01:10:27.030880 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum 1
5-th percentile 4
Q1 4
median 4
Q3 4
95-th percentile 4
Maximum 16
Range 15
Interquartile range (IQR) 0

Descriptive statistics

Standard deviation 0.8337633285
Coefficient of variation (CV) 0.2096013164
Kurtosis 103.8649375
Mean 3.977853492
Median Absolute Deviation (MAD) 0
Skewness 7.953571727
Sum 4670
Variance 0.695161288
Monotonicity Not monotonic
2022-05-22T01:10:27.361994 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Value Count Frequency (%)
4 1113
87.2%
2 46
 
3.6%
12 4
 
0.3%
8 4
 
0.3%
16 2
 
0.2%
1 2
 
0.2%
3 2
 
0.2%
6 1
 
0.1%
(Missing) 102
 
8.0%
Value Count Frequency (%)
1 2
 
0.2%
2 46
 
3.6%
3 2
 
0.2%
4 1113
87.2%
6 1
 
0.1%
8 4
 
0.3%
12 4
 
0.3%
16 2
 
0.2%
Value Count Frequency (%)
16 2
 
0.2%
12 4
 
0.3%
8 4
 
0.3%
6 1
 
0.1%
4 1113
87.2%
3 2
 
0.2%
2 46
 
3.6%
1 2
 
0.2%

Drivetrain
Categorical

HIGH CORRELATION

Distinct 4
Distinct (%) 0.3%
Missing 7
Missing (%) 0.5%
Memory size 10.1 KiB
FWD (Front Wheel Drive)
887 
RWD (Rear Wheel Drive)
170 
AWD (All Wheel Drive)
153 
4WD
 
59

Length

Max length 23
Median length 23
Mean length 21.69503546
Min length 3

Characters and Unicode

Total characters 27531
Distinct characters 19
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row RWD (Rear Wheel Drive)
2nd row RWD (Rear Wheel Drive)
3rd row RWD (Rear Wheel Drive)
4th row RWD (Rear Wheel Drive)
5th row RWD (Rear Wheel Drive)

Common Values

Value Count Frequency (%)
FWD (Front Wheel Drive) 887
69.5%
RWD (Rear Wheel Drive) 170
 
13.3%
AWD (All Wheel Drive) 153
 
12.0%
4WD 59
 
4.6%
(Missing) 7
 
0.5%

Length

2022-05-22T01:10:27.728759 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:28.184160 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
wheel 1210
24.7%
drive 1210
24.7%
fwd 887
18.1%
front 887
18.1%
rwd 170
 
3.5%
rear 170
 
3.5%
awd 153
 
3.1%
all 153
 
3.1%
4wd 59
 
1.2%

Most occurring characters

Value Count Frequency (%)
e 3800
13.8%
3630
13.2%
D 2479
9.0%
W 2479
9.0%
r 2267
 
8.2%
F 1774
 
6.4%
l 1516
 
5.5%
) 1210
 
4.4%
v 1210
 
4.4%
i 1210
 
4.4%
Other values (9) 5956
21.6%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 14044
51.0%
Uppercase Letter 7378
26.8%
Space Separator 3630
 
13.2%
Close Punctuation 1210
 
4.4%
Open Punctuation 1210
 
4.4%
Decimal Number 59
 
0.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 3800
27.1%
r 2267
16.1%
l 1516
 
10.8%
v 1210
 
8.6%
i 1210
 
8.6%
h 1210
 
8.6%
t 887
 
6.3%
n 887
 
6.3%
o 887
 
6.3%
a 170
 
1.2%
Uppercase Letter
Value Count Frequency (%)
D 2479
33.6%
W 2479
33.6%
F 1774
24.0%
R 340
 
4.6%
A 306
 
4.1%
Space Separator
Value Count Frequency (%)
3630
100.0%
Close Punctuation
Value Count Frequency (%)
) 1210
100.0%
Open Punctuation
Value Count Frequency (%)
( 1210
100.0%
Decimal Number
Value Count Frequency (%)
4 59
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 21422
77.8%
Common 6109
 
22.2%

Most frequent character per script

Latin
Value Count Frequency (%)
e 3800
17.7%
D 2479
11.6%
W 2479
11.6%
r 2267
10.6%
F 1774
8.3%
l 1516
 
7.1%
v 1210
 
5.6%
i 1210
 
5.6%
h 1210
 
5.6%
t 887
 
4.1%
Other values (5) 2590
12.1%
Common
Value Count Frequency (%)
3630
59.4%
) 1210
 
19.8%
( 1210
 
19.8%
4 59
 
1.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 27531
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 3800
13.8%
3630
13.2%
D 2479
9.0%
W 2479
9.0%
r 2267
 
8.2%
F 1774
 
6.4%
l 1516
 
5.5%
) 1210
 
4.4%
v 1210
 
4.4%
i 1210
 
4.4%
Other values (9) 5956
21.6%

Cylinder_Configuration
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 0.3%
Missing 13
Missing (%) 1.0%
Memory size 10.1 KiB
In-line
1077 
V
176 
W
 
6
Flat
 
4

Length

Max length 7
Median length 7
Mean length 6.125890736
Min length 1

Characters and Unicode

Total characters 7737
Distinct characters 11
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row In-line
2nd row In-line
3rd row In-line
4th row In-line
5th row In-line

Common Values

Value Count Frequency (%)
In-line 1077
84.4%
V 176
 
13.8%
W 6
 
0.5%
Flat 4
 
0.3%
(Missing) 13
 
1.0%

Length

2022-05-22T01:10:28.534765 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:28.955640 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
in-line 1077
85.3%
v 176
 
13.9%
w 6
 
0.5%
flat 4
 
0.3%

Most occurring characters

Value Count Frequency (%)
n 2154
27.8%
l 1081
14.0%
I 1077
13.9%
- 1077
13.9%
i 1077
13.9%
e 1077
13.9%
V 176
 
2.3%
W 6
 
0.1%
F 4
 
0.1%
a 4
 
0.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 5397
69.8%
Uppercase Letter 1263
 
16.3%
Dash Punctuation 1077
 
13.9%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
n 2154
39.9%
l 1081
20.0%
i 1077
20.0%
e 1077
20.0%
a 4
 
0.1%
t 4
 
0.1%
Uppercase Letter
Value Count Frequency (%)
I 1077
85.3%
V 176
 
13.9%
W 6
 
0.5%
F 4
 
0.3%
Dash Punctuation
Value Count Frequency (%)
- 1077
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 6660
86.1%
Common 1077
 
13.9%

Most frequent character per script

Latin
Value Count Frequency (%)
n 2154
32.3%
l 1081
16.2%
I 1077
16.2%
i 1077
16.2%
e 1077
16.2%
V 176
 
2.6%
W 6
 
0.1%
F 4
 
0.1%
a 4
 
0.1%
t 4
 
0.1%
Common
Value Count Frequency (%)
- 1077
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 7737
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
n 2154
27.8%
l 1081
14.0%
I 1077
13.9%
- 1077
13.9%
i 1077
13.9%
e 1077
13.9%
V 176
 
2.3%
W 6
 
0.1%
F 4
 
0.1%
a 4
 
0.1%

Emission_Norm
Categorical

HIGH CORRELATION

Distinct 4
Distinct (%) 0.3%
Missing 11
Missing (%) 0.9%
Memory size 10.1 KiB
BS IV
879 
BS 6
358 
BS VI
 
19
BS III
 
9

Length

Max length 6
Median length 5
Mean length 4.724110672
Min length 4

Characters and Unicode

Total characters 5976
Distinct characters 6
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row BS IV
2nd row BS IV
3rd row BS IV
4th row BS IV
5th row BS IV

Common Values

Value Count Frequency (%)
BS IV 879
68.9%
BS 6 358
28.1%
BS VI 19
 
1.5%
BS III 9
 
0.7%
(Missing) 11
 
0.9%

Length

2022-05-22T01:10:29.350583 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:29.791403 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
bs 1265
50.0%
iv 879
34.7%
6 358
 
14.2%
vi 19
 
0.8%
iii 9
 
0.4%

Most occurring characters

Value Count Frequency (%)
B 1265
21.2%
S 1265
21.2%
1265
21.2%
I 925
15.5%
V 898
15.0%
6 358
 
6.0%

Most occurring categories

Value Count Frequency (%)
Uppercase Letter 4353
72.8%
Space Separator 1265
 
21.2%
Decimal Number 358
 
6.0%

Most frequent character per category

Uppercase Letter
Value Count Frequency (%)
B 1265
29.1%
S 1265
29.1%
I 925
21.2%
V 898
20.6%
Space Separator
Value Count Frequency (%)
1265
100.0%
Decimal Number
Value Count Frequency (%)
6 358
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 4353
72.8%
Common 1623
 
27.2%

Most frequent character per script

Latin
Value Count Frequency (%)
B 1265
29.1%
S 1265
29.1%
I 925
21.2%
V 898
20.6%
Common
Value Count Frequency (%)
1265
77.9%
6 358
 
22.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 5976
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
B 1265
21.2%
S 1265
21.2%
1265
21.2%
I 925
15.5%
V 898
15.0%
6 358
 
6.0%

Engine_Location
Categorical

HIGH CORRELATION
MISSING

Distinct 7
Distinct (%) 0.6%
Missing 43
Missing (%) 3.4%
Memory size 10.1 KiB
Front, Transverse
804 
Front, Longitudinal
405 
Rear, Transverse
 
16
Rear Mid, Transverse
 
3
Mid, Longitudinal
 
2
Other values (2)
 
3

Length

Max length 20
Median length 17
Mean length 17.64882401
Min length 15

Characters and Unicode

Total characters 21761
Distinct characters 20
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Rear, Transverse
2nd row Rear, Transverse
3rd row Rear, Transverse
4th row Rear, Transverse
5th row Rear, Transverse

Common Values

Value Count Frequency (%)
Front, Transverse 804
63.0%
Front, Longitudinal 405
31.7%
Rear, Transverse 16
 
1.3%
Rear Mid, Transverse 3
 
0.2%
Mid, Longitudinal 2
 
0.2%
Mid, Transverse 2
 
0.2%
Rear, Longitudinal 1
 
0.1%
(Missing) 43
 
3.4%

Length

2022-05-22T01:10:30.165385 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:30.575781 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
front 1209
49.0%
transverse 825
33.4%
longitudinal 408
 
16.5%
rear 20
 
0.8%
mid 7
 
0.3%

Most occurring characters

Value Count Frequency (%)
r 2879
13.2%
n 2850
13.1%
e 1670
 
7.7%
s 1650
 
7.6%
o 1617
 
7.4%
t 1617
 
7.4%
a 1253
 
5.8%
1236
 
5.7%
, 1233
 
5.7%
F 1209
 
5.6%
Other values (10) 4547
20.9%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 16823
77.3%
Uppercase Letter 2469
 
11.3%
Space Separator 1236
 
5.7%
Other Punctuation 1233
 
5.7%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 2879
17.1%
n 2850
16.9%
e 1670
9.9%
s 1650
9.8%
o 1617
9.6%
t 1617
9.6%
a 1253
7.4%
v 825
 
4.9%
i 823
 
4.9%
d 415
 
2.5%
Other values (3) 1224
7.3%
Uppercase Letter
Value Count Frequency (%)
F 1209
49.0%
T 825
33.4%
L 408
 
16.5%
R 20
 
0.8%
M 7
 
0.3%
Space Separator
Value Count Frequency (%)
1236
100.0%
Other Punctuation
Value Count Frequency (%)
, 1233
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 19292
88.7%
Common 2469
 
11.3%

Most frequent character per script

Latin
Value Count Frequency (%)
r 2879
14.9%
n 2850
14.8%
e 1670
8.7%
s 1650
8.6%
o 1617
8.4%
t 1617
8.4%
a 1253
6.5%
F 1209
6.3%
v 825
 
4.3%
T 825
 
4.3%
Other values (8) 2897
15.0%
Common
Value Count Frequency (%)
1236
50.1%
, 1233
49.9%

Most occurring blocks

Value Count Frequency (%)
ASCII 21761
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 2879
13.2%
n 2850
13.1%
e 1670
 
7.7%
s 1650
 
7.6%
o 1617
 
7.4%
t 1617
 
7.4%
a 1253
 
5.8%
1236
 
5.7%
, 1233
 
5.7%
F 1209
 
5.6%
Other values (10) 4547
20.9%

Fuel_System
Categorical

HIGH CORRELATION

Distinct 2
Distinct (%) 0.2%
Missing 8
Missing (%) 0.6%
Memory size 10.1 KiB
Injection
1264 
PGM - Fi
 
4

Length

Max length 9
Median length 9
Mean length 8.996845426
Min length 8

Characters and Unicode

Total characters 11408
Distinct characters 14
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Injection
2nd row Injection
3rd row Injection
4th row Injection
5th row Injection

Common Values

Value Count Frequency (%)
Injection 1264
99.1%
PGM - Fi 4
 
0.3%
(Missing) 8
 
0.6%

Length

2022-05-22T01:10:30.975714 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:31.315847 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
injection 1264
99.1%
pgm 4
 
0.3%
4
 
0.3%
fi 4
 
0.3%

Most occurring characters

Value Count Frequency (%)
n 2528
22.2%
i 1268
11.1%
I 1264
11.1%
j 1264
11.1%
e 1264
11.1%
c 1264
11.1%
t 1264
11.1%
o 1264
11.1%
8
 
0.1%
P 4
 
< 0.1%
Other values (4) 16
 
0.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 10116
88.7%
Uppercase Letter 1280
 
11.2%
Space Separator 8
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
n 2528
25.0%
i 1268
12.5%
j 1264
12.5%
e 1264
12.5%
c 1264
12.5%
t 1264
12.5%
o 1264
12.5%
Uppercase Letter
Value Count Frequency (%)
I 1264
98.8%
P 4
 
0.3%
G 4
 
0.3%
M 4
 
0.3%
F 4
 
0.3%
Space Separator
Value Count Frequency (%)
8
100.0%
Dash Punctuation
Value Count Frequency (%)
- 4
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 11396
99.9%
Common 12
 
0.1%

Most frequent character per script

Latin
Value Count Frequency (%)
n 2528
22.2%
i 1268
11.1%
I 1264
11.1%
j 1264
11.1%
e 1264
11.1%
c 1264
11.1%
t 1264
11.1%
o 1264
11.1%
P 4
 
< 0.1%
G 4
 
< 0.1%
Other values (2) 8
 
0.1%
Common
Value Count Frequency (%)
8
66.7%
- 4
33.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 11408
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
n 2528
22.2%
i 1268
11.1%
I 1264
11.1%
j 1264
11.1%
e 1264
11.1%
c 1264
11.1%
t 1264
11.1%
o 1264
11.1%
8
 
0.1%
P 4
 
< 0.1%
Other values (4) 16
 
0.1%

Fuel_Tank_Capacity
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct 63
Distinct (%) 5.2%
Missing 69
Missing (%) 5.4%
Memory size 10.1 KiB
45 litres
125 
35 litres
124 
50 litres
94 
60 litres
91 
37 litres
79 
Other values (58)
694 

Length

Max length 11
Median length 9
Mean length 9.025683513
Min length 9

Characters and Unicode

Total characters 10894
Distinct characters 18
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 9 ?
Unique (%) 0.7%

Sample

1st row 24 litres
2nd row 24 litres
3rd row 15 litres
4th row 24 litres
5th row 24 litres

Common Values

Value Count Frequency (%)
45 litres 125
 
9.8%
35 litres 124
 
9.7%
50 litres 94
 
7.4%
60 litres 91
 
7.1%
37 litres 79
 
6.2%
55 litres 73
 
5.7%
40 litres 56
 
4.4%
42 litres 51
 
4.0%
70 litres 48
 
3.8%
44 litres 48
 
3.8%
Other values (53) 418
32.8%
(Missing) 69
 
5.4%

Length

2022-05-22T01:10:31.667903 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
litres 1207
50.0%
45 125
 
5.2%
35 124
 
5.1%
50 94
 
3.9%
60 91
 
3.8%
37 79
 
3.3%
55 73
 
3.0%
40 56
 
2.3%
42 51
 
2.1%
70 48
 
2.0%
Other values (54) 466
 
19.3%

Most occurring characters

Value Count Frequency (%)
1207
11.1%
l 1207
11.1%
i 1207
11.1%
t 1207
11.1%
r 1207
11.1%
e 1207
11.1%
s 1207
11.1%
5 576
5.3%
4 435
 
4.0%
0 370
 
3.4%
Other values (8) 1064
9.8%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 7242
66.5%
Decimal Number 2436
 
22.4%
Space Separator 1207
 
11.1%
Other Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
5 576
23.6%
4 435
17.9%
0 370
15.2%
3 301
12.4%
6 215
 
8.8%
7 189
 
7.8%
2 141
 
5.8%
8 126
 
5.2%
9 44
 
1.8%
1 39
 
1.6%
Lowercase Letter
Value Count Frequency (%)
l 1207
16.7%
i 1207
16.7%
t 1207
16.7%
r 1207
16.7%
e 1207
16.7%
s 1207
16.7%
Space Separator
Value Count Frequency (%)
1207
100.0%
Other Punctuation
Value Count Frequency (%)
. 9
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7242
66.5%
Common 3652
33.5%

Most frequent character per script

Common
Value Count Frequency (%)
1207
33.1%
5 576
15.8%
4 435
 
11.9%
0 370
 
10.1%
3 301
 
8.2%
6 215
 
5.9%
7 189
 
5.2%
2 141
 
3.9%
8 126
 
3.5%
9 44
 
1.2%
Other values (2) 48
 
1.3%
Latin
Value Count Frequency (%)
l 1207
16.7%
i 1207
16.7%
t 1207
16.7%
r 1207
16.7%
e 1207
16.7%
s 1207
16.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 10894
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
1207
11.1%
l 1207
11.1%
i 1207
11.1%
t 1207
11.1%
r 1207
11.1%
e 1207
11.1%
s 1207
11.1%
5 576
5.3%
4 435
 
4.0%
0 370
 
3.4%
Other values (8) 1064
9.8%

Fuel_Type
Categorical

HIGH CORRELATION

Distinct 6
Distinct (%) 0.5%
Missing 0
Missing (%) 0.0%
Memory size 10.1 KiB
Petrol
643 
Diesel
582 
CNG
 
16
Hybrid
 
15
Electric
 
14

Length

Max length 12
Median length 6
Mean length 6.012539185
Min length 3

Characters and Unicode

Total characters 7672
Distinct characters 20
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Petrol
2nd row Petrol
3rd row CNG
4th row Petrol
5th row Petrol

Common Values

Value Count Frequency (%)
Petrol 643
50.4%
Diesel 582
45.6%
CNG 16
 
1.3%
Hybrid 15
 
1.2%
Electric 14
 
1.1%
CNG + Petrol 6
 
0.5%

Length

2022-05-22T01:10:32.026943 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:32.389195 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
petrol 649
50.4%
diesel 582
45.2%
cng 22
 
1.7%
hybrid 15
 
1.2%
electric 14
 
1.1%
6
 
0.5%

Most occurring characters

Value Count Frequency (%)
e 1827
23.8%
l 1245
16.2%
r 678
 
8.8%
t 663
 
8.6%
P 649
 
8.5%
o 649
 
8.5%
i 611
 
8.0%
D 582
 
7.6%
s 582
 
7.6%
c 28
 
0.4%
Other values (10) 158
 
2.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6328
82.5%
Uppercase Letter 1326
 
17.3%
Space Separator 12
 
0.2%
Math Symbol 6
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 1827
28.9%
l 1245
19.7%
r 678
 
10.7%
t 663
 
10.5%
o 649
 
10.3%
i 611
 
9.7%
s 582
 
9.2%
c 28
 
0.4%
y 15
 
0.2%
b 15
 
0.2%
Uppercase Letter
Value Count Frequency (%)
P 649
48.9%
D 582
43.9%
G 22
 
1.7%
N 22
 
1.7%
C 22
 
1.7%
H 15
 
1.1%
E 14
 
1.1%
Space Separator
Value Count Frequency (%)
12
100.0%
Math Symbol
Value Count Frequency (%)
+ 6
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7654
99.8%
Common 18
 
0.2%

Most frequent character per script

Latin
Value Count Frequency (%)
e 1827
23.9%
l 1245
16.3%
r 678
 
8.9%
t 663
 
8.7%
P 649
 
8.5%
o 649
 
8.5%
i 611
 
8.0%
D 582
 
7.6%
s 582
 
7.6%
c 28
 
0.4%
Other values (8) 140
 
1.8%
Common
Value Count Frequency (%)
12
66.7%
+ 6
33.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 7672
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 1827
23.8%
l 1245
16.2%
r 678
 
8.8%
t 663
 
8.6%
P 649
 
8.5%
o 649
 
8.5%
i 611
 
8.0%
D 582
 
7.6%
s 582
 
7.6%
c 28
 
0.4%
Other values (10) 158
 
2.1%

Height
Categorical

HIGH CARDINALITY

Distinct 211
Distinct (%) 16.5%
Missing 1
Missing (%) 0.1%
Memory size 10.1 KiB
1520 mm
 
49
1510 mm
 
35
1640 mm
 
33
1560 mm
 
29
1525 mm
 
27
Other values (206)
1102 

Length

Max length 8
Median length 7
Mean length 7.000784314
Min length 7

Characters and Unicode

Total characters 8926
Distinct characters 13
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 63 ?
Unique (%) 4.9%

Sample

1st row 1652 mm
2nd row 1652 mm
3rd row 1652 mm
4th row 1652 mm
5th row 1652 mm

Common Values

Value Count Frequency (%)
1520 mm 49
 
3.8%
1510 mm 35
 
2.7%
1640 mm 33
 
2.6%
1560 mm 29
 
2.3%
1525 mm 27
 
2.1%
1607 mm 27
 
2.1%
1495 mm 24
 
1.9%
1655 mm 22
 
1.7%
1475 mm 22
 
1.7%
1785 mm 21
 
1.6%
Other values (201) 986
77.3%

Length

2022-05-22T01:10:32.740191 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mm 1275
50.0%
1520 49
 
1.9%
1510 35
 
1.4%
1640 33
 
1.3%
1560 29
 
1.1%
1525 27
 
1.1%
1607 27
 
1.1%
1495 24
 
0.9%
1655 22
 
0.9%
1475 22
 
0.9%
Other values (202) 1007
39.5%

Most occurring characters

Value Count Frequency (%)
m 2550
28.6%
1 1470
16.5%
1275
14.3%
5 854
 
9.6%
4 518
 
5.8%
6 510
 
5.7%
0 503
 
5.6%
7 373
 
4.2%
8 260
 
2.9%
9 224
 
2.5%
Other values (3) 389
 
4.4%

Most occurring categories

Value Count Frequency (%)
Decimal Number 5100
57.1%
Lowercase Letter 2550
28.6%
Space Separator 1275
 
14.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 1470
28.8%
5 854
16.7%
4 518
 
10.2%
6 510
 
10.0%
0 503
 
9.9%
7 373
 
7.3%
8 260
 
5.1%
9 224
 
4.4%
2 196
 
3.8%
3 192
 
3.8%
Lowercase Letter
Value Count Frequency (%)
m 2550
100.0%
Space Separator
Value Count Frequency (%)
1275
100.0%
Other Punctuation
Value Count Frequency (%)
. 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 6376
71.4%
Latin 2550
 
28.6%

Most frequent character per script

Common
Value Count Frequency (%)
1 1470
23.1%
1275
20.0%
5 854
13.4%
4 518
 
8.1%
6 510
 
8.0%
0 503
 
7.9%
7 373
 
5.9%
8 260
 
4.1%
9 224
 
3.5%
2 196
 
3.1%
Other values (2) 193
 
3.0%
Latin
Value Count Frequency (%)
m 2550
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8926
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
m 2550
28.6%
1 1470
16.5%
1275
14.3%
5 854
 
9.6%
4 518
 
5.8%
6 510
 
5.7%
0 503
 
5.6%
7 373
 
4.2%
8 260
 
2.9%
9 224
 
2.5%
Other values (3) 389
 
4.4%

Length
Categorical

HIGH CARDINALITY

Distinct 228
Distinct (%) 17.9%
Missing 0
Missing (%) 0.0%
Memory size 10.1 KiB
3995 mm
174 
4440 mm
 
36
3700 mm
 
29
4585 mm
 
29
4395 mm
 
27
Other values (223)
981 

Length

Max length 7
Median length 7
Mean length 7
Min length 7

Characters and Unicode

Total characters 8932
Distinct characters 13
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 71 ?
Unique (%) 5.6%

Sample

1st row 3164 mm
2nd row 3164 mm
3rd row 3164 mm
4th row 3164 mm
5th row 3164 mm

Common Values

Value Count Frequency (%)
3995 mm 174
 
13.6%
4440 mm 36
 
2.8%
3700 mm 29
 
2.3%
4585 mm 29
 
2.3%
4395 mm 27
 
2.1%
3994 mm 27
 
2.1%
4315 mm 25
 
2.0%
3600 mm 20
 
1.6%
4413 mm 18
 
1.4%
4270 mm 18
 
1.4%
Other values (218) 873
68.4%

Length

2022-05-22T01:10:33.083569 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mm 1276
50.0%
3995 174
 
6.8%
4440 36
 
1.4%
3700 29
 
1.1%
4585 29
 
1.1%
4395 27
 
1.1%
3994 27
 
1.1%
4315 25
 
1.0%
3600 20
 
0.8%
4413 18
 
0.7%
Other values (219) 891
34.9%

Most occurring characters

Value Count Frequency (%)
m 2552
28.6%
1276
14.3%
4 1002
 
11.2%
9 856
 
9.6%
3 805
 
9.0%
5 780
 
8.7%
0 392
 
4.4%
8 317
 
3.5%
6 278
 
3.1%
7 261
 
2.9%
Other values (3) 413
 
4.6%

Most occurring categories

Value Count Frequency (%)
Decimal Number 5103
57.1%
Lowercase Letter 2552
28.6%
Space Separator 1276
 
14.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
4 1002
19.6%
9 856
16.8%
3 805
15.8%
5 780
15.3%
0 392
 
7.7%
8 317
 
6.2%
6 278
 
5.4%
7 261
 
5.1%
2 214
 
4.2%
1 198
 
3.9%
Lowercase Letter
Value Count Frequency (%)
m 2552
100.0%
Space Separator
Value Count Frequency (%)
1276
100.0%
Other Punctuation
Value Count Frequency (%)
. 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 6380
71.4%
Latin 2552
 
28.6%

Most frequent character per script

Common
Value Count Frequency (%)
1276
20.0%
4 1002
15.7%
9 856
13.4%
3 805
12.6%
5 780
12.2%
0 392
 
6.1%
8 317
 
5.0%
6 278
 
4.4%
7 261
 
4.1%
2 214
 
3.4%
Other values (2) 199
 
3.1%
Latin
Value Count Frequency (%)
m 2552
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8932
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
m 2552
28.6%
1276
14.3%
4 1002
 
11.2%
9 856
 
9.6%
3 805
 
9.0%
5 780
 
8.7%
0 392
 
4.4%
8 317
 
3.5%
6 278
 
3.1%
7 261
 
2.9%
Other values (3) 413
 
4.6%

Width
Categorical

HIGH CARDINALITY

Distinct 182
Distinct (%) 14.4%
Missing 12
Missing (%) 0.9%
Memory size 10.1 KiB
1695 mm
 
76
1735 mm
 
70
1730 mm
 
36
1811 mm
 
30
1745 mm
 
29
Other values (177)
1023 

Length

Max length 8
Median length 7
Mean length 7.000791139
Min length 7

Characters and Unicode

Total characters 8849
Distinct characters 13
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 45 ?
Unique (%) 3.6%

Sample

1st row 1750 mm
2nd row 1750 mm
3rd row 1750 mm
4th row 1750 mm
5th row 1750 mm

Common Values

Value Count Frequency (%)
1695 mm 76
 
6.0%
1735 mm 70
 
5.5%
1730 mm 36
 
2.8%
1811 mm 30
 
2.4%
1745 mm 29
 
2.3%
1660 mm 28
 
2.2%
1699 mm 28
 
2.2%
1850 mm 25
 
2.0%
1890 mm 24
 
1.9%
1818 mm 23
 
1.8%
Other values (172) 895
70.1%

Length

2022-05-22T01:10:33.427394 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mm 1264
50.0%
1695 76
 
3.0%
1735 70
 
2.8%
1730 36
 
1.4%
1811 30
 
1.2%
1745 29
 
1.1%
1660 28
 
1.1%
1699 28
 
1.1%
1850 25
 
1.0%
1890 24
 
0.9%
Other values (173) 918
36.3%

Most occurring characters

Value Count Frequency (%)
m 2528
28.6%
1 1373
15.5%
1264
14.3%
0 570
 
6.4%
8 520
 
5.9%
7 484
 
5.5%
6 460
 
5.2%
5 432
 
4.9%
9 416
 
4.7%
2 315
 
3.6%
Other values (3) 487
 
5.5%

Most occurring categories

Value Count Frequency (%)
Decimal Number 5056
57.1%
Lowercase Letter 2528
28.6%
Space Separator 1264
 
14.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 1373
27.2%
0 570
11.3%
8 520
 
10.3%
7 484
 
9.6%
6 460
 
9.1%
5 432
 
8.5%
9 416
 
8.2%
2 315
 
6.2%
3 271
 
5.4%
4 215
 
4.3%
Lowercase Letter
Value Count Frequency (%)
m 2528
100.0%
Space Separator
Value Count Frequency (%)
1264
100.0%
Other Punctuation
Value Count Frequency (%)
. 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 6321
71.4%
Latin 2528
 
28.6%

Most frequent character per script

Common
Value Count Frequency (%)
1 1373
21.7%
1264
20.0%
0 570
9.0%
8 520
 
8.2%
7 484
 
7.7%
6 460
 
7.3%
5 432
 
6.8%
9 416
 
6.6%
2 315
 
5.0%
3 271
 
4.3%
Other values (2) 216
 
3.4%
Latin
Value Count Frequency (%)
m 2528
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8849
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
m 2528
28.6%
1 1373
15.5%
1264
14.3%
0 570
 
6.4%
8 520
 
5.9%
7 484
 
5.5%
6 460
 
5.2%
5 432
 
4.9%
9 416
 
4.7%
2 315
 
3.6%
Other values (3) 487
 
5.5%

Body_Type
Categorical

HIGH CORRELATION

Distinct 17
Distinct (%) 1.3%
Missing 6
Missing (%) 0.5%
Memory size 10.1 KiB
SUV
447 
Sedan
333 
Hatchback
316 
Coupe
 
41
MUV
 
39
Other values (12)
94 

Length

Max length 19
Median length 18
Mean length 5.416535433
Min length 3

Characters and Unicode

Total characters 6879
Distinct characters 27
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 3 ?
Unique (%) 0.2%

Sample

1st row Hatchback
2nd row Hatchback
3rd row Hatchback
4th row Hatchback
5th row Hatchback

Common Values

Value Count Frequency (%)
SUV 447
35.0%
Sedan 333
26.1%
Hatchback 316
24.8%
Coupe 41
 
3.2%
MUV 39
 
3.1%
MPV 39
 
3.1%
Convertible 20
 
1.6%
Crossover 18
 
1.4%
Sports 3
 
0.2%
Pick-up 3
 
0.2%
Other values (7) 11
 
0.9%
(Missing) 6
 
0.5%

Length

2022-05-22T01:10:33.794730 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
suv 451
35.2%
sedan 336
26.2%
hatchback 317
24.7%
coupe 44
 
3.4%
muv 39
 
3.0%
mpv 39
 
3.0%
convertible 23
 
1.8%
crossover 23
 
1.8%
sports 6
 
0.5%
pick-up 3
 
0.2%

Most occurring characters

Value Count Frequency (%)
a 970
14.1%
S 793
11.5%
c 637
 
9.3%
V 529
 
7.7%
U 490
 
7.1%
e 449
 
6.5%
n 359
 
5.2%
t 346
 
5.0%
b 340
 
4.9%
d 336
 
4.9%
Other values (17) 1630
23.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 4515
65.6%
Uppercase Letter 2339
34.0%
Other Punctuation 11
 
0.2%
Space Separator 11
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
a 970
21.5%
c 637
14.1%
e 449
9.9%
n 359
 
8.0%
t 346
 
7.7%
b 340
 
7.5%
d 336
 
7.4%
k 320
 
7.1%
h 317
 
7.0%
o 119
 
2.6%
Other values (7) 322
 
7.1%
Uppercase Letter
Value Count Frequency (%)
S 793
33.9%
V 529
22.6%
U 490
20.9%
H 317
 
13.6%
C 90
 
3.8%
M 78
 
3.3%
P 42
 
1.8%
Other Punctuation
Value Count Frequency (%)
, 11
100.0%
Space Separator
Value Count Frequency (%)
11
100.0%
Dash Punctuation
Value Count Frequency (%)
- 3
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 6854
99.6%
Common 25
 
0.4%

Most frequent character per script

Latin
Value Count Frequency (%)
a 970
14.2%
S 793
11.6%
c 637
 
9.3%
V 529
 
7.7%
U 490
 
7.1%
e 449
 
6.6%
n 359
 
5.2%
t 346
 
5.0%
b 340
 
5.0%
d 336
 
4.9%
Other values (14) 1605
23.4%
Common
Value Count Frequency (%)
, 11
44.0%
11
44.0%
- 3
 
12.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 6879
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
a 970
14.1%
S 793
11.5%
c 637
 
9.3%
V 529
 
7.7%
U 490
 
7.1%
e 449
 
6.5%
n 359
 
5.2%
t 346
 
5.0%
b 340
 
4.9%
d 336
 
4.9%
Other values (17) 1630
23.7%

Doors
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct 4
Distinct (%) 0.3%
Missing 4
Missing (%) 0.3%
Memory size 10.1 KiB
5.0
836 
4.0
362 
2.0
 
62
3.0
 
12

Length

Max length 3
Median length 3
Mean length 3
Min length 3

Characters and Unicode

Total characters 3816
Distinct characters 6
Distinct categories 2 ?
Distinct scripts 1 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row 5.0
2nd row 5.0
3rd row 4.0
4th row 5.0
5th row 5.0

Common Values

Value Count Frequency (%)
5.0 836
65.5%
4.0 362
28.4%
2.0 62
 
4.9%
3.0 12
 
0.9%
(Missing) 4
 
0.3%

Length

2022-05-22T01:10:34.143207 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:34.497516 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
5.0 836
65.7%
4.0 362
28.5%
2.0 62
 
4.9%
3.0 12
 
0.9%

Most occurring characters

Value Count Frequency (%)
. 1272
33.3%
0 1272
33.3%
5 836
21.9%
4 362
 
9.5%
2 62
 
1.6%
3 12
 
0.3%

Most occurring categories

Value Count Frequency (%)
Decimal Number 2544
66.7%
Other Punctuation 1272
33.3%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
0 1272
50.0%
5 836
32.9%
4 362
 
14.2%
2 62
 
2.4%
3 12
 
0.5%
Other Punctuation
Value Count Frequency (%)
. 1272
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 3816
100.0%

Most frequent character per script

Common
Value Count Frequency (%)
. 1272
33.3%
0 1272
33.3%
5 836
21.9%
4 362
 
9.5%
2 62
 
1.6%
3 12
 
0.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 3816
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
. 1272
33.3%
0 1272
33.3%
5 836
21.9%
4 362
 
9.5%
2 62
 
1.6%
3 12
 
0.3%

City_Mileage
Categorical

HIGH CARDINALITY
MISSING

Distinct 164
Distinct (%) 22.7%
Missing 555
Missing (%) 43.5%
Memory size 10.1 KiB
12 km/litre
 
38
16 km/litre
 
30
18 km/litre
 
26
14 km/litre
 
20
23 km/litre
 
19
Other values (159)
588 

Length

Max length 18
Median length 14
Mean length 12.47572816
Min length 10

Characters and Unicode

Total characters 8995
Distinct characters 23
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 51 ?
Unique (%) 7.1%

Sample

1st row ?23.6 km/litre
2nd row ?23.6 km/litre
3rd row ?23.6 km/litre
4th row ?23.6 km/litre
5th row ?23.6 km/litre

Common Values

Value Count Frequency (%)
12 km/litre 38
 
3.0%
16 km/litre 30
 
2.4%
18 km/litre 26
 
2.0%
14 km/litre 20
 
1.6%
23 km/litre 19
 
1.5%
15.1 km/litre 16
 
1.3%
20 km/litre 13
 
1.0%
25.17 km/litre 12
 
0.9%
16.3 km/litre 11
 
0.9%
11.2 km/litre 11
 
0.9%
Other values (154) 525
41.1%
(Missing) 555
43.5%

Length

2022-05-22T01:10:34.846347 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
km/litre 721
50.0%
12 38
 
2.6%
16 30
 
2.1%
18 26
 
1.8%
14 20
 
1.4%
23 19
 
1.3%
15.1 16
 
1.1%
20 13
 
0.9%
25.17 12
 
0.8%
22.25 11
 
0.8%
Other values (155) 536
37.2%

Most occurring characters

Value Count Frequency (%)
721
 
8.0%
k 721
 
8.0%
m 721
 
8.0%
/ 721
 
8.0%
l 721
 
8.0%
i 721
 
8.0%
t 721
 
8.0%
r 721
 
8.0%
e 721
 
8.0%
1 567
 
6.3%
Other values (13) 1939
21.6%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 5047
56.1%
Decimal Number 1984
 
22.1%
Other Punctuation 1242
 
13.8%
Space Separator 721
 
8.0%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 567
28.6%
2 350
17.6%
5 200
 
10.1%
3 181
 
9.1%
8 149
 
7.5%
6 129
 
6.5%
4 124
 
6.2%
9 104
 
5.2%
0 95
 
4.8%
7 85
 
4.3%
Lowercase Letter
Value Count Frequency (%)
k 721
14.3%
m 721
14.3%
l 721
14.3%
i 721
14.3%
t 721
14.3%
r 721
14.3%
e 721
14.3%
Other Punctuation
Value Count Frequency (%)
/ 721
58.1%
. 483
38.9%
, 33
 
2.7%
? 5
 
0.4%
Space Separator
Value Count Frequency (%)
721
100.0%
Dash Punctuation
Value Count Frequency (%)
- 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 5047
56.1%
Common 3948
43.9%

Most frequent character per script

Common
Value Count Frequency (%)
721
18.3%
/ 721
18.3%
1 567
14.4%
. 483
12.2%
2 350
8.9%
5 200
 
5.1%
3 181
 
4.6%
8 149
 
3.8%
6 129
 
3.3%
4 124
 
3.1%
Other values (6) 323
8.2%
Latin
Value Count Frequency (%)
k 721
14.3%
m 721
14.3%
l 721
14.3%
i 721
14.3%
t 721
14.3%
r 721
14.3%
e 721
14.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 8995
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
721
 
8.0%
k 721
 
8.0%
m 721
 
8.0%
/ 721
 
8.0%
l 721
 
8.0%
i 721
 
8.0%
t 721
 
8.0%
r 721
 
8.0%
e 721
 
8.0%
1 567
 
6.3%
Other values (13) 1939
21.6%

Highway_Mileage
Categorical

HIGH CARDINALITY
MISSING

Distinct 136
Distinct (%) 28.6%
Missing 800
Missing (%) 62.7%
Memory size 10.1 KiB
22 km/litre
 
17
23 km/litre
 
16
17 km/litre
 
13
16 km/litre
 
13
18.15 km/litre
 
11
Other values (131)
406 

Length

Max length 16
Median length 14
Mean length 12.73739496
Min length 10

Characters and Unicode

Total characters 6063
Distinct characters 21
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 39 ?
Unique (%) 8.2%

Sample

1st row 24 km/litre
2nd row 24 km/litre
3rd row 24 km/litre
4th row 24 km/litre
5th row 15 km/litre

Common Values

Value Count Frequency (%)
22 km/litre 17
 
1.3%
23 km/litre 16
 
1.3%
17 km/litre 13
 
1.0%
16 km/litre 13
 
1.0%
18.15 km/litre 11
 
0.9%
15.4 km/litre 11
 
0.9%
11.12 km/litre 11
 
0.9%
17.6 km/litre 11
 
0.9%
25.32 km/litre 11
 
0.9%
10.5 km/litre 10
 
0.8%
Other values (126) 352
27.6%
(Missing) 800
62.7%

Length

2022-05-22T01:10:35.213397 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
km/litre 476
50.0%
22 17
 
1.8%
23 16
 
1.7%
17 13
 
1.4%
16 13
 
1.4%
18.15 11
 
1.2%
15.4 11
 
1.2%
11.12 11
 
1.2%
17.6 11
 
1.2%
25.32 11
 
1.2%
Other values (127) 362
38.0%

Most occurring characters

Value Count Frequency (%)
k 476
 
7.9%
m 476
 
7.9%
/ 476
 
7.9%
l 476
 
7.9%
i 476
 
7.9%
t 476
 
7.9%
r 476
 
7.9%
e 476
 
7.9%
476
 
7.9%
1 404
 
6.7%
Other values (11) 1375
22.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 3332
55.0%
Decimal Number 1424
23.5%
Other Punctuation 830
 
13.7%
Space Separator 476
 
7.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 404
28.4%
2 238
16.7%
5 129
 
9.1%
6 108
 
7.6%
3 105
 
7.4%
4 101
 
7.1%
8 100
 
7.0%
7 100
 
7.0%
9 70
 
4.9%
0 69
 
4.8%
Lowercase Letter
Value Count Frequency (%)
k 476
14.3%
m 476
14.3%
l 476
14.3%
i 476
14.3%
t 476
14.3%
r 476
14.3%
e 476
14.3%
Other Punctuation
Value Count Frequency (%)
/ 476
57.3%
. 354
42.7%
Space Separator
Value Count Frequency (%)
476
100.0%
Dash Punctuation
Value Count Frequency (%)
- 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 3332
55.0%
Common 2731
45.0%

Most frequent character per script

Common
Value Count Frequency (%)
/ 476
17.4%
476
17.4%
1 404
14.8%
. 354
13.0%
2 238
8.7%
5 129
 
4.7%
6 108
 
4.0%
3 105
 
3.8%
4 101
 
3.7%
8 100
 
3.7%
Other values (4) 240
8.8%
Latin
Value Count Frequency (%)
k 476
14.3%
m 476
14.3%
l 476
14.3%
i 476
14.3%
t 476
14.3%
r 476
14.3%
e 476
14.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 6063
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
k 476
 
7.9%
m 476
 
7.9%
/ 476
 
7.9%
l 476
 
7.9%
i 476
 
7.9%
t 476
 
7.9%
r 476
 
7.9%
e 476
 
7.9%
476
 
7.9%
1 404
 
6.7%
Other values (11) 1375
22.7%

ARAI_Certified_Mileage
Categorical

HIGH CARDINALITY
MISSING

Distinct 281
Distinct (%) 24.2%
Missing 114
Missing (%) 8.9%
Memory size 10.1 KiB
23 km/litre
 
27
16 km/litre
 
24
17.1 km/litre
 
24
17.6 km/litre
 
23
23.1 km/litre
 
20
Other values (276)
1044 

Length

Max length 18
Median length 17
Mean length 13.08605852
Min length 10

Characters and Unicode

Total characters 15206
Distinct characters 22
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 77 ?
Unique (%) 6.6%

Sample

1st row 23.6 km/litre
2nd row 23.6 km/litre
3rd row 21.9 km/litre
4th row 23.6 km/litre
5th row 21.9 km/litre

Common Values

Value Count Frequency (%)
23 km/litre 27
 
2.1%
16 km/litre 24
 
1.9%
17.1 km/litre 24
 
1.9%
17.6 km/litre 23
 
1.8%
23.1 km/litre 20
 
1.6%
20 km/litre 19
 
1.5%
15.4 km/litre 18
 
1.4%
20.4 km/litre 17
 
1.3%
23.59 km/litre 15
 
1.2%
20.5 km/litre 14
 
1.1%
Other values (271) 961
75.3%
(Missing) 114
 
8.9%

Length

2022-05-22T01:10:35.585268 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
km/litre 1162
50.0%
23 27
 
1.2%
16 24
 
1.0%
17.1 24
 
1.0%
17.6 23
 
1.0%
23.1 20
 
0.9%
20 19
 
0.8%
15.4 18
 
0.8%
20.4 17
 
0.7%
23.59 15
 
0.6%
Other values (272) 975
42.0%

Most occurring characters

Value Count Frequency (%)
k 1163
 
7.6%
m 1163
 
7.6%
l 1163
 
7.6%
1162
 
7.6%
/ 1162
 
7.6%
i 1162
 
7.6%
t 1162
 
7.6%
r 1162
 
7.6%
e 1162
 
7.6%
. 997
 
6.6%
Other values (12) 3748
24.6%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 8138
53.5%
Decimal Number 3745
24.6%
Other Punctuation 2159
 
14.2%
Space Separator 1162
 
7.6%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 969
25.9%
2 651
17.4%
7 333
 
8.9%
5 313
 
8.4%
6 271
 
7.2%
3 262
 
7.0%
4 253
 
6.8%
9 243
 
6.5%
0 233
 
6.2%
8 217
 
5.8%
Lowercase Letter
Value Count Frequency (%)
k 1163
14.3%
m 1163
14.3%
l 1163
14.3%
i 1162
14.3%
t 1162
14.3%
r 1162
14.3%
e 1162
14.3%
p 1
 
< 0.1%
Other Punctuation
Value Count Frequency (%)
/ 1162
53.8%
. 997
46.2%
Space Separator
Value Count Frequency (%)
1162
100.0%
Dash Punctuation
Value Count Frequency (%)
- 2
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 8138
53.5%
Common 7068
46.5%

Most frequent character per script

Common
Value Count Frequency (%)
1162
16.4%
/ 1162
16.4%
. 997
14.1%
1 969
13.7%
2 651
9.2%
7 333
 
4.7%
5 313
 
4.4%
6 271
 
3.8%
3 262
 
3.7%
4 253
 
3.6%
Other values (4) 695
9.8%
Latin
Value Count Frequency (%)
k 1163
14.3%
m 1163
14.3%
l 1163
14.3%
i 1162
14.3%
t 1162
14.3%
r 1162
14.3%
e 1162
14.3%
p 1
 
< 0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 15206
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
k 1163
 
7.6%
m 1163
 
7.6%
l 1163
 
7.6%
1162
 
7.6%
/ 1162
 
7.6%
i 1162
 
7.6%
t 1162
 
7.6%
r 1162
 
7.6%
e 1162
 
7.6%
. 997
 
6.6%
Other values (12) 3748
24.6%

ARAI_Certified_Mileage_for_CNG
Categorical

HIGH CORRELATION
MISSING

Distinct 16
Distinct (%) 59.3%
Missing 1249
Missing (%) 97.9%
Memory size 10.1 KiB
14.16 km/kg
25 km/kg
30.48 km/kg
13.96 km/kg
33.54 km/kg
Other values (11)
12 

Length

Max length 11
Median length 11
Mean length 9.925925926
Min length 8

Characters and Unicode

Total characters 268
Distinct characters 16
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 10 ?
Unique (%) 37.0%

Sample

1st row 36 km/kg
2nd row 20 km/kg
3rd row 20 km/kg
4th row 32.26 km/kg
5th row 31.76 km/kg

Common Values

Value Count Frequency (%)
14.16 km/kg 5
 
0.4%
25 km/kg 4
 
0.3%
30.48 km/kg 2
 
0.2%
13.96 km/kg 2
 
0.2%
33.54 km/kg 2
 
0.2%
20 km/kg 2
 
0.2%
31.76 km/kg 1
 
0.1%
26.6 km/kg 1
 
0.1%
36 km/kg 1
 
0.1%
20.4 km/kg 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1249
97.9%

Length

2022-05-22T01:10:35.953099 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
km/kg 27
50.0%
14.16 5
 
9.3%
25 4
 
7.4%
30.48 2
 
3.7%
13.96 2
 
3.7%
33.54 2
 
3.7%
20 2
 
3.7%
31.79 1
 
1.9%
10.8 1
 
1.9%
32.26 1
 
1.9%
Other values (7) 7
 
13.0%

Most occurring characters

Value Count Frequency (%)
k 54
20.1%
27
10.1%
m 27
10.1%
/ 27
10.1%
g 27
10.1%
. 19
 
7.1%
1 16
 
6.0%
3 13
 
4.9%
6 12
 
4.5%
4 11
 
4.1%
Other values (6) 35
13.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 108
40.3%
Decimal Number 87
32.5%
Other Punctuation 46
17.2%
Space Separator 27
 
10.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 16
18.4%
3 13
14.9%
6 12
13.8%
4 11
12.6%
2 11
12.6%
5 7
8.0%
0 7
8.0%
8 4
 
4.6%
9 4
 
4.6%
7 2
 
2.3%
Lowercase Letter
Value Count Frequency (%)
k 54
50.0%
m 27
25.0%
g 27
25.0%
Other Punctuation
Value Count Frequency (%)
/ 27
58.7%
. 19
41.3%
Space Separator
Value Count Frequency (%)
27
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 160
59.7%
Latin 108
40.3%

Most frequent character per script

Common
Value Count Frequency (%)
27
16.9%
/ 27
16.9%
. 19
11.9%
1 16
10.0%
3 13
8.1%
6 12
7.5%
4 11
6.9%
2 11
6.9%
5 7
 
4.4%
0 7
 
4.4%
Other values (3) 10
 
6.2%
Latin
Value Count Frequency (%)
k 54
50.0%
m 27
25.0%
g 27
25.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 268
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
k 54
20.1%
27
10.1%
m 27
10.1%
/ 27
10.1%
g 27
10.1%
. 19
 
7.1%
1 16
 
6.0%
3 13
 
4.9%
6 12
 
4.5%
4 11
 
4.1%
Other values (6) 35
13.1%

Kerb_Weight
Categorical

HIGH CARDINALITY
MISSING

Distinct 336
Distinct (%) 36.9%
Missing 365
Missing (%) 28.6%
Memory size 10.1 KiB
1785 kg
 
25
935 kg
 
21
895 kg
 
16
810 kg
 
16
1170 kg
 
14
Other values (331)
819 

Length

Max length 12
Median length 7
Mean length 6.856201976
Min length 6

Characters and Unicode

Total characters 6246
Distinct characters 14
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 159 ?
Unique (%) 17.5%

Sample

1st row 660 kg
2nd row 725 kg
3rd row 710 kg
4th row 725 kg
5th row 725 kg

Common Values

Value Count Frequency (%)
1785 kg 25
 
2.0%
935 kg 21
 
1.6%
895 kg 16
 
1.3%
810 kg 16
 
1.3%
1170 kg 14
 
1.1%
1100 kg 14
 
1.1%
669 kg 12
 
0.9%
1180 kg 12
 
0.9%
1615 kg 11
 
0.9%
1562 kg 10
 
0.8%
Other values (326) 760
59.6%
(Missing) 365
28.6%

Length

2022-05-22T01:10:36.305025 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
kg 914
50.1%
1785 25
 
1.4%
935 21
 
1.2%
895 16
 
0.9%
810 16
 
0.9%
1170 14
 
0.8%
1100 14
 
0.8%
669 12
 
0.7%
1180 12
 
0.7%
1615 11
 
0.6%
Other values (326) 770
42.2%

Most occurring characters

Value Count Frequency (%)
914
14.6%
k 914
14.6%
g 914
14.6%
1 891
14.3%
0 515
8.2%
5 426
6.8%
2 342
 
5.5%
8 264
 
4.2%
9 245
 
3.9%
7 226
 
3.6%
Other values (4) 595
9.5%

Most occurring categories

Value Count Frequency (%)
Decimal Number 3492
55.9%
Lowercase Letter 1828
29.3%
Space Separator 914
 
14.6%
Dash Punctuation 12
 
0.2%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 891
25.5%
0 515
14.7%
5 426
12.2%
2 342
 
9.8%
8 264
 
7.6%
9 245
 
7.0%
7 226
 
6.5%
6 219
 
6.3%
3 215
 
6.2%
4 149
 
4.3%
Lowercase Letter
Value Count Frequency (%)
k 914
50.0%
g 914
50.0%
Space Separator
Value Count Frequency (%)
914
100.0%
Dash Punctuation
Value Count Frequency (%)
- 12
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 4418
70.7%
Latin 1828
29.3%

Most frequent character per script

Common
Value Count Frequency (%)
914
20.7%
1 891
20.2%
0 515
11.7%
5 426
9.6%
2 342
 
7.7%
8 264
 
6.0%
9 245
 
5.5%
7 226
 
5.1%
6 219
 
5.0%
3 215
 
4.9%
Other values (2) 161
 
3.6%
Latin
Value Count Frequency (%)
k 914
50.0%
g 914
50.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 6246
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
914
14.6%
k 914
14.6%
g 914
14.6%
1 891
14.3%
0 515
8.2%
5 426
6.8%
2 342
 
5.5%
8 264
 
4.2%
9 245
 
3.9%
7 226
 
3.6%
Other values (4) 595
9.5%

Gears
Categorical

HIGH CORRELATION
MISSING

Distinct 8
Distinct (%) 0.7%
Missing 105
Missing (%) 8.2%
Memory size 10.1 KiB
5
614 
6
233 
8
139 
7
137 
9
 
30
Other values (3)
 
18

Length

Max length 27
Median length 1
Mean length 1.032450897
Min length 1

Characters and Unicode

Total characters 1209
Distinct characters 26
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 2 ?
Unique (%) 0.2%

Sample

1st row 4
2nd row 4
3rd row 4
4th row 5
5th row 4

Common Values

Value Count Frequency (%)
5 614
48.1%
6 233
 
18.3%
8 139
 
10.9%
7 137
 
10.7%
9 30
 
2.4%
4 16
 
1.3%
7 Dual Clutch 1
 
0.1%
Single Speed Reduction Gear 1
 
0.1%
(Missing) 105
 
8.2%

Length

2022-05-22T01:10:36.653113 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:37.030631 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
5 614
52.2%
6 233
 
19.8%
8 139
 
11.8%
7 138
 
11.7%
9 30
 
2.6%
4 16
 
1.4%
dual 1
 
0.1%
clutch 1
 
0.1%
single 1
 
0.1%
speed 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring characters

Value Count Frequency (%)
5 614
50.8%
6 233
 
19.3%
8 139
 
11.5%
7 138
 
11.4%
9 30
 
2.5%
4 16
 
1.3%
5
 
0.4%
e 5
 
0.4%
u 3
 
0.2%
l 3
 
0.2%
Other values (16) 23
 
1.9%

Most occurring categories

Value Count Frequency (%)
Decimal Number 1170
96.8%
Lowercase Letter 28
 
2.3%
Uppercase Letter 6
 
0.5%
Space Separator 5
 
0.4%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 5
17.9%
u 3
10.7%
l 3
10.7%
d 2
 
7.1%
n 2
 
7.1%
i 2
 
7.1%
c 2
 
7.1%
t 2
 
7.1%
a 2
 
7.1%
h 1
 
3.6%
Other values (4) 4
14.3%
Decimal Number
Value Count Frequency (%)
5 614
52.5%
6 233
 
19.9%
8 139
 
11.9%
7 138
 
11.8%
9 30
 
2.6%
4 16
 
1.4%
Uppercase Letter
Value Count Frequency (%)
S 2
33.3%
C 1
16.7%
D 1
16.7%
R 1
16.7%
G 1
16.7%
Space Separator
Value Count Frequency (%)
5
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 1175
97.2%
Latin 34
 
2.8%

Most frequent character per script

Latin
Value Count Frequency (%)
e 5
14.7%
u 3
 
8.8%
l 3
 
8.8%
S 2
 
5.9%
d 2
 
5.9%
n 2
 
5.9%
i 2
 
5.9%
c 2
 
5.9%
t 2
 
5.9%
a 2
 
5.9%
Other values (9) 9
26.5%
Common
Value Count Frequency (%)
5 614
52.3%
6 233
 
19.8%
8 139
 
11.8%
7 138
 
11.7%
9 30
 
2.6%
4 16
 
1.4%
5
 
0.4%

Most occurring blocks

Value Count Frequency (%)
ASCII 1209
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5 614
50.8%
6 233
 
19.3%
8 139
 
11.5%
7 138
 
11.4%
9 30
 
2.5%
4 16
 
1.3%
5
 
0.4%
e 5
 
0.4%
u 3
 
0.2%
l 3
 
0.2%
Other values (16) 23
 
1.9%

Ground_Clearance
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct 73
Distinct (%) 7.4%
Missing 289
Missing (%) 22.6%
Memory size 10.1 KiB
165 mm
143 
170 mm
138 
200 mm
75 
180 mm
65 
190 mm
56 
Other values (68)
510 

Length

Max length 8
Median length 6
Mean length 6.028368794
Min length 6

Characters and Unicode

Total characters 5950
Distinct characters 13
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 17 ?
Unique (%) 1.7%

Sample

1st row 180 mm
2nd row 180 mm
3rd row 180 mm
4th row 180 mm
5th row 180 mm

Common Values

Value Count Frequency (%)
165 mm 143
11.2%
170 mm 138
10.8%
200 mm 75
 
5.9%
180 mm 65
 
5.1%
190 mm 56
 
4.4%
163 mm 54
 
4.2%
205 mm 34
 
2.7%
160 mm 29
 
2.3%
210 mm 28
 
2.2%
209 mm 25
 
2.0%
Other values (63) 340
26.6%
(Missing) 289
22.6%

Length

2022-05-22T01:10:37.397477 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mm 987
50.0%
165 143
 
7.2%
170 138
 
7.0%
200 75
 
3.8%
180 65
 
3.3%
190 56
 
2.8%
163 54
 
2.7%
205 34
 
1.7%
160 29
 
1.5%
210 28
 
1.4%
Other values (64) 365
 
18.5%

Most occurring characters

Value Count Frequency (%)
m 1974
33.2%
987
16.6%
1 830
13.9%
0 574
 
9.6%
5 349
 
5.9%
2 295
 
5.0%
6 263
 
4.4%
7 202
 
3.4%
8 165
 
2.8%
9 138
 
2.3%
Other values (3) 173
 
2.9%

Most occurring categories

Value Count Frequency (%)
Decimal Number 2975
50.0%
Lowercase Letter 1974
33.2%
Space Separator 987
 
16.6%
Other Punctuation 14
 
0.2%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 830
27.9%
0 574
19.3%
5 349
11.7%
2 295
 
9.9%
6 263
 
8.8%
7 202
 
6.8%
8 165
 
5.5%
9 138
 
4.6%
3 93
 
3.1%
4 66
 
2.2%
Lowercase Letter
Value Count Frequency (%)
m 1974
100.0%
Space Separator
Value Count Frequency (%)
987
100.0%
Other Punctuation
Value Count Frequency (%)
. 14
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 3976
66.8%
Latin 1974
33.2%

Most frequent character per script

Common
Value Count Frequency (%)
987
24.8%
1 830
20.9%
0 574
14.4%
5 349
 
8.8%
2 295
 
7.4%
6 263
 
6.6%
7 202
 
5.1%
8 165
 
4.1%
9 138
 
3.5%
3 93
 
2.3%
Other values (2) 80
 
2.0%
Latin
Value Count Frequency (%)
m 1974
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 5950
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
m 1974
33.2%
987
16.6%
1 830
13.9%
0 574
 
9.6%
5 349
 
5.9%
2 295
 
5.0%
6 263
 
4.4%
7 202
 
3.4%
8 165
 
2.8%
9 138
 
2.3%
Other values (3) 173
 
2.9%

Front_Brakes
Categorical

HIGH CORRELATION
MISSING

Distinct 3
Distinct (%) 0.2%
Missing 25
Missing (%) 2.0%
Memory size 10.1 KiB
Ventilated Disc
1167 
Solid Disc
 
74
Drum
 
10

Length

Max length 15
Median length 15
Mean length 14.61630695
Min length 4

Characters and Unicode

Total characters 18285
Distinct characters 17
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Drum
2nd row Drum
3rd row Drum
4th row Drum
5th row Drum

Common Values

Value Count Frequency (%)
Ventilated Disc 1167
91.5%
Solid Disc 74
 
5.8%
Drum 10
 
0.8%
(Missing) 25
 
2.0%

Length

2022-05-22T01:10:37.755550 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:38.621181 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
disc 1241
49.8%
ventilated 1167
46.8%
solid 74
 
3.0%
drum 10
 
0.4%

Most occurring characters

Value Count Frequency (%)
i 2482
13.6%
t 2334
12.8%
e 2334
12.8%
D 1251
6.8%
1241
6.8%
c 1241
6.8%
l 1241
6.8%
s 1241
6.8%
d 1241
6.8%
V 1167
6.4%
Other values (7) 2512
13.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 14552
79.6%
Uppercase Letter 2492
 
13.6%
Space Separator 1241
 
6.8%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 2482
17.1%
t 2334
16.0%
e 2334
16.0%
c 1241
8.5%
l 1241
8.5%
s 1241
8.5%
d 1241
8.5%
a 1167
8.0%
n 1167
8.0%
o 74
 
0.5%
Other values (3) 30
 
0.2%
Uppercase Letter
Value Count Frequency (%)
D 1251
50.2%
V 1167
46.8%
S 74
 
3.0%
Space Separator
Value Count Frequency (%)
1241
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 17044
93.2%
Common 1241
 
6.8%

Most frequent character per script

Latin
Value Count Frequency (%)
i 2482
14.6%
t 2334
13.7%
e 2334
13.7%
D 1251
7.3%
c 1241
7.3%
l 1241
7.3%
s 1241
7.3%
d 1241
7.3%
V 1167
6.8%
a 1167
6.8%
Other values (6) 1345
7.9%
Common
Value Count Frequency (%)
1241
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 18285
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
i 2482
13.6%
t 2334
12.8%
e 2334
12.8%
D 1251
6.8%
1241
6.8%
c 1241
6.8%
l 1241
6.8%
s 1241
6.8%
d 1241
6.8%
V 1167
6.4%
Other values (7) 2512
13.7%

Rear_Brakes
Categorical

HIGH CORRELATION
MISSING

Distinct 3
Distinct (%) 0.2%
Missing 25
Missing (%) 2.0%
Memory size 10.1 KiB
Drum
782 
Ventilated Disc
425 
Solid Disc
 
44

Length

Max length 15
Median length 4
Mean length 7.948041567
Min length 4

Characters and Unicode

Total characters 9943
Distinct characters 17
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Drum
2nd row Drum
3rd row Drum
4th row Drum
5th row Drum

Common Values

Value Count Frequency (%)
Drum 782
61.3%
Ventilated Disc 425
33.3%
Solid Disc 44
 
3.4%
(Missing) 25
 
2.0%

Length

2022-05-22T01:10:38.959007 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:39.308221 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
drum 782
45.5%
disc 469
27.3%
ventilated 425
24.7%
solid 44
 
2.6%

Most occurring characters

Value Count Frequency (%)
D 1251
12.6%
i 938
9.4%
e 850
 
8.5%
t 850
 
8.5%
u 782
 
7.9%
m 782
 
7.9%
r 782
 
7.9%
l 469
 
4.7%
d 469
 
4.7%
469
 
4.7%
Other values (7) 2301
23.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 7754
78.0%
Uppercase Letter 1720
 
17.3%
Space Separator 469
 
4.7%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 938
12.1%
e 850
11.0%
t 850
11.0%
u 782
10.1%
m 782
10.1%
r 782
10.1%
l 469
6.0%
d 469
6.0%
s 469
6.0%
c 469
6.0%
Other values (3) 894
11.5%
Uppercase Letter
Value Count Frequency (%)
D 1251
72.7%
V 425
 
24.7%
S 44
 
2.6%
Space Separator
Value Count Frequency (%)
469
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 9474
95.3%
Common 469
 
4.7%

Most frequent character per script

Latin
Value Count Frequency (%)
D 1251
13.2%
i 938
9.9%
e 850
9.0%
t 850
9.0%
u 782
8.3%
m 782
8.3%
r 782
8.3%
l 469
 
5.0%
d 469
 
5.0%
s 469
 
5.0%
Other values (6) 1832
19.3%
Common
Value Count Frequency (%)
469
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 9943
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
D 1251
12.6%
i 938
9.4%
e 850
 
8.5%
t 850
 
8.5%
u 782
 
7.9%
m 782
 
7.9%
r 782
 
7.9%
l 469
 
4.7%
d 469
 
4.7%
469
 
4.7%
Other values (7) 2301
23.1%

Front_Suspension
Categorical

HIGH CARDINALITY
MISSING

Distinct 140
Distinct (%) 11.5%
Missing 59
Missing (%) 4.6%
Memory size 10.1 KiB
MacPherson Strut
119 
McPherson Strut
89 
McPherson Strut, Coil Spring
 
54
Independent McPherson
 
53
McPherson strut with coil spring
 
53
Other values (135)
849 

Length

Max length 195
Median length 112
Mean length 39.663106
Min length 7

Characters and Unicode

Total characters 48270
Distinct characters 60
Distinct categories 8 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 31 ?
Unique (%) 2.5%

Sample

1st row Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
2nd row Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
3rd row Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
4th row Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
5th row Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar

Common Values

Value Count Frequency (%)
MacPherson Strut 119
 
9.3%
McPherson Strut 89
 
7.0%
McPherson Strut, Coil Spring 54
 
4.2%
Independent McPherson 53
 
4.2%
McPherson strut with coil spring 53
 
4.2%
Macpherson strut with Coil Spring 47
 
3.7%
MacPherson Strut with anti-roll bar 36
 
2.8%
Double wishbone 34
 
2.7%
McPherson suspension with lower triangular links and torsion stabiliser 32
 
2.5%
McPherson Strut with Coil Spring Rear 30
 
2.4%
Other values (130) 670
52.5%
(Missing) 59
 
4.6%

Length

2022-05-22T01:10:39.713586 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
strut 665
 
9.8%
with 657
 
9.7%
coil 508
 
7.5%
mcpherson 500
 
7.4%
spring 430
 
6.4%
macpherson 269
 
4.0%
independent 242
 
3.6%
bar 234
 
3.5%
suspension 196
 
2.9%
double 179
 
2.6%
Other values (175) 2887
42.7%

Most occurring characters

Value Count Frequency (%)
5550
 
11.5%
n 3602
 
7.5%
r 3478
 
7.2%
t 3426
 
7.1%
e 3411
 
7.1%
i 3377
 
7.0%
s 3302
 
6.8%
o 2847
 
5.9%
h 1898
 
3.9%
l 1802
 
3.7%
Other values (50) 15577
32.3%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 37681
78.1%
Space Separator 5550
 
11.5%
Uppercase Letter 4278
 
8.9%
Other Punctuation 408
 
0.8%
Dash Punctuation 304
 
0.6%
Decimal Number 35
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
n 3602
9.6%
r 3478
 
9.2%
t 3426
 
9.1%
e 3411
 
9.1%
i 3377
 
9.0%
s 3302
 
8.8%
o 2847
 
7.6%
h 1898
 
5.0%
l 1802
 
4.8%
a 1733
 
4.6%
Other values (15) 8805
23.4%
Uppercase Letter
Value Count Frequency (%)
M 879
20.5%
S 861
20.1%
P 799
18.7%
C 308
 
7.2%
D 301
 
7.0%
I 261
 
6.1%
A 172
 
4.0%
W 137
 
3.2%
T 110
 
2.6%
L 101
 
2.4%
Other values (12) 349
 
8.2%
Other Punctuation
Value Count Frequency (%)
, 282
69.1%
& 50
 
12.3%
. 46
 
11.3%
/ 27
 
6.6%
; 3
 
0.7%
Decimal Number
Value Count Frequency (%)
4 18
51.4%
2 14
40.0%
5 2
 
5.7%
3 1
 
2.9%
Space Separator
Value Count Frequency (%)
5550
100.0%
Dash Punctuation
Value Count Frequency (%)
- 304
100.0%
Close Punctuation
Value Count Frequency (%)
) 7
100.0%
Open Punctuation
Value Count Frequency (%)
( 7
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 41959
86.9%
Common 6311
 
13.1%

Most frequent character per script

Latin
Value Count Frequency (%)
n 3602
 
8.6%
r 3478
 
8.3%
t 3426
 
8.2%
e 3411
 
8.1%
i 3377
 
8.0%
s 3302
 
7.9%
o 2847
 
6.8%
h 1898
 
4.5%
l 1802
 
4.3%
a 1733
 
4.1%
Other values (37) 13083
31.2%
Common
Value Count Frequency (%)
5550
87.9%
- 304
 
4.8%
, 282
 
4.5%
& 50
 
0.8%
. 46
 
0.7%
/ 27
 
0.4%
4 18
 
0.3%
2 14
 
0.2%
) 7
 
0.1%
( 7
 
0.1%
Other values (3) 6
 
0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 48270
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5550
 
11.5%
n 3602
 
7.5%
r 3478
 
7.2%
t 3426
 
7.1%
e 3411
 
7.1%
i 3377
 
7.0%
s 3302
 
6.8%
o 2847
 
5.9%
h 1898
 
3.9%
l 1802
 
3.7%
Other values (50) 15577
32.3%

Rear_Suspension
Categorical

HIGH CARDINALITY
MISSING

Distinct 173
Distinct (%) 14.1%
Missing 46
Missing (%) 3.6%
Memory size 10.1 KiB
Torsion Beam
123 
Coupled Torsion Beam Axle
 
57
Twist Beam with Coil spring and Shock Absorber
 
53
Coupled Torsion Beam Axle with coil spring
 
50
Torsion Beam Coil Spring
 
37
Other values (168)
910 

Length

Max length 157
Median length 90.5
Mean length 37.56585366
Min length 7

Characters and Unicode

Total characters 46206
Distinct characters 62
Distinct categories 8 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 38 ?
Unique (%) 3.1%

Sample

1st row Independent, Semi Trailing arm with coil spring & gas filled shock absorbers
2nd row Independent, Semi Trailing arm with coil spring & gas filled shock absorbers
3rd row Independent, Semi Trailing arm with coil spring & gas filled shock absorbers
4th row Independent, Semi Trailing arm with coil spring & gas filled shock absorbers
5th row Independent, Semi Trailing arm with coil spring & gas filled shock absorbers

Common Values

Value Count Frequency (%)
Torsion Beam 123
 
9.6%
Coupled Torsion Beam Axle 57
 
4.5%
Twist Beam with Coil spring and Shock Absorber 53
 
4.2%
Coupled Torsion Beam Axle with coil spring 50
 
3.9%
Torsion Beam Coil Spring 37
 
2.9%
Coupled Torsion Beam Axle (CTBA) with coil spring 34
 
2.7%
Semi-independent twist beam with twin gas and oil filled shock absorbers 31
 
2.4%
Twist beam suspension with coil spring 27
 
2.1%
Multilink Type with Coil Spring 26
 
2.0%
Multi-link suspension, coil springs, twin-tube gas-filled shock absorbers, stabiliser bar 25
 
2.0%
Other values (163) 767
60.1%
(Missing) 46
 
3.6%

Length

2022-05-22T01:10:40.169224 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
beam 634
 
9.3%
with 561
 
8.2%
coil 516
 
7.6%
torsion 478
 
7.0%
spring 461
 
6.8%
axle 279
 
4.1%
suspension 220
 
3.2%
shock 188
 
2.8%
and 182
 
2.7%
twist 175
 
2.6%
Other values (198) 3126
45.8%

Most occurring characters

Value Count Frequency (%)
5590
 
12.1%
i 4553
 
9.9%
e 3249
 
7.0%
n 3122
 
6.8%
s 2820
 
6.1%
o 2807
 
6.1%
l 2407
 
5.2%
r 2379
 
5.1%
a 2090
 
4.5%
t 1981
 
4.3%
Other values (52) 15208
32.9%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 35735
77.3%
Space Separator 5590
 
12.1%
Uppercase Letter 3815
 
8.3%
Dash Punctuation 503
 
1.1%
Other Punctuation 391
 
0.8%
Decimal Number 94
 
0.2%
Open Punctuation 39
 
0.1%
Close Punctuation 39
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 4553
12.7%
e 3249
 
9.1%
n 3122
 
8.7%
s 2820
 
7.9%
o 2807
 
7.9%
l 2407
 
6.7%
r 2379
 
6.7%
a 2090
 
5.8%
t 1981
 
5.5%
p 1468
 
4.1%
Other values (15) 8859
24.8%
Uppercase Letter
Value Count Frequency (%)
T 775
20.3%
S 582
15.3%
B 550
14.4%
A 504
13.2%
C 501
13.1%
M 181
 
4.7%
L 134
 
3.5%
I 122
 
3.2%
H 95
 
2.5%
D 95
 
2.5%
Other values (11) 276
 
7.2%
Other Punctuation
Value Count Frequency (%)
, 291
74.4%
& 49
 
12.5%
; 29
 
7.4%
/ 8
 
2.0%
. 8
 
2.0%
: 4
 
1.0%
# 2
 
0.5%
Decimal Number
Value Count Frequency (%)
4 36
38.3%
5 26
27.7%
3 20
21.3%
2 10
 
10.6%
9 2
 
2.1%
Space Separator
Value Count Frequency (%)
5590
100.0%
Dash Punctuation
Value Count Frequency (%)
- 503
100.0%
Open Punctuation
Value Count Frequency (%)
( 39
100.0%
Close Punctuation
Value Count Frequency (%)
) 39
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 39550
85.6%
Common 6656
 
14.4%

Most frequent character per script

Latin
Value Count Frequency (%)
i 4553
 
11.5%
e 3249
 
8.2%
n 3122
 
7.9%
s 2820
 
7.1%
o 2807
 
7.1%
l 2407
 
6.1%
r 2379
 
6.0%
a 2090
 
5.3%
t 1981
 
5.0%
p 1468
 
3.7%
Other values (36) 12674
32.0%
Common
Value Count Frequency (%)
5590
84.0%
- 503
 
7.6%
, 291
 
4.4%
& 49
 
0.7%
( 39
 
0.6%
) 39
 
0.6%
4 36
 
0.5%
; 29
 
0.4%
5 26
 
0.4%
3 20
 
0.3%
Other values (6) 34
 
0.5%

Most occurring blocks

Value Count Frequency (%)
ASCII 46206
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5590
 
12.1%
i 4553
 
9.9%
e 3249
 
7.0%
n 3122
 
6.8%
s 2820
 
6.1%
o 2807
 
6.1%
l 2407
 
5.2%
r 2379
 
5.1%
a 2090
 
4.5%
t 1981
 
4.3%
Other values (52) 15208
32.9%

Front_Track
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct 99
Distinct (%) 16.3%
Missing 667
Missing (%) 52.3%
Memory size 10.1 KiB
1490 mm
 
46
1600 mm
 
28
1540 mm
 
27
1479 mm
 
26
1505 mm
 
22
Other values (94)
460 

Length

Max length 14
Median length 7
Mean length 7.039408867
Min length 6

Characters and Unicode

Total characters 4287
Distinct characters 17
Distinct categories 7 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 17 ?
Unique (%) 2.8%

Sample

1st row 1325 mm
2nd row 1325 mm
3rd row 1325 mm
4th row 1325 mm
5th row 1325 mm

Common Values

Value Count Frequency (%)
1490 mm 46
 
3.6%
1600 mm 28
 
2.2%
1540 mm 27
 
2.1%
1479 mm 26
 
2.0%
1505 mm 22
 
1.7%
1420 mm 21
 
1.6%
1460 mm 21
 
1.6%
1560 mm 19
 
1.5%
1440 mm 18
 
1.4%
1295 mm 16
 
1.3%
Other values (89) 365
28.6%
(Missing) 667
52.3%

Length

2022-05-22T01:10:40.571775 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mm 609
50.0%
1490 46
 
3.8%
1600 28
 
2.3%
1540 27
 
2.2%
1479 26
 
2.1%
1505 22
 
1.8%
1420 21
 
1.7%
1460 21
 
1.7%
1560 19
 
1.6%
1440 18
 
1.5%
Other values (91) 382
31.3%

Most occurring characters

Value Count Frequency (%)
m 1218
28.4%
1 659
15.4%
610
14.2%
0 357
 
8.3%
5 346
 
8.1%
4 291
 
6.8%
6 267
 
6.2%
9 160
 
3.7%
2 130
 
3.0%
7 103
 
2.4%
Other values (7) 146
 
3.4%

Most occurring categories

Value Count Frequency (%)
Decimal Number 2446
57.1%
Lowercase Letter 1218
28.4%
Space Separator 610
 
14.2%
Other Punctuation 10
 
0.2%
Open Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 659
26.9%
0 357
14.6%
5 346
14.1%
4 291
11.9%
6 267
10.9%
9 160
 
6.5%
2 130
 
5.3%
7 103
 
4.2%
8 83
 
3.4%
3 50
 
2.0%
Other Punctuation
Value Count Frequency (%)
. 9
90.0%
, 1
 
10.0%
Lowercase Letter
Value Count Frequency (%)
m 1218
100.0%
Space Separator
Value Count Frequency (%)
610
100.0%
Open Punctuation
Value Count Frequency (%)
( 1
100.0%
Uppercase Letter
Value Count Frequency (%)
R 1
100.0%
Close Punctuation
Value Count Frequency (%)
) 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 3068
71.6%
Latin 1219
 
28.4%

Most frequent character per script

Common
Value Count Frequency (%)
1 659
21.5%
610
19.9%
0 357
11.6%
5 346
11.3%
4 291
9.5%
6 267
8.7%
9 160
 
5.2%
2 130
 
4.2%
7 103
 
3.4%
8 83
 
2.7%
Other values (5) 62
 
2.0%
Latin
Value Count Frequency (%)
m 1218
99.9%
R 1
 
0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 4287
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
m 1218
28.4%
1 659
15.4%
610
14.2%
0 357
 
8.3%
5 346
 
8.1%
4 291
 
6.8%
6 267
 
6.2%
9 160
 
3.7%
2 130
 
3.0%
7 103
 
2.4%
Other values (7) 146
 
3.4%

Rear_Track
Categorical

HIGH CARDINALITY
MISSING

Distinct 105
Distinct (%) 17.5%
Missing 676
Missing (%) 53.0%
Memory size 10.1 KiB
1540 mm
 
29
1493 mm
 
27
1600 mm
 
24
1490 mm
 
22
1290 mm
 
21
Other values (100)
477 

Length

Max length 14
Median length 7
Mean length 7.041666667
Min length 7

Characters and Unicode

Total characters 4225
Distinct characters 17
Distinct categories 7 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 17 ?
Unique (%) 2.8%

Sample

1st row 1315 mm
2nd row 1315 mm
3rd row 1315 mm
4th row 1315 mm
5th row 1315 mm

Common Values

Value Count Frequency (%)
1540 mm 29
 
2.3%
1493 mm 27
 
2.1%
1600 mm 24
 
1.9%
1490 mm 22
 
1.7%
1290 mm 21
 
1.6%
1410 mm 21
 
1.6%
1445 mm 18
 
1.4%
1456 mm 18
 
1.4%
1567 mm 15
 
1.2%
1500 mm 15
 
1.2%
Other values (95) 390
30.6%
(Missing) 676
53.0%

Length

2022-05-22T01:10:40.934081 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mm 600
50.0%
1540 29
 
2.4%
1493 27
 
2.2%
1600 24
 
2.0%
1490 22
 
1.8%
1290 21
 
1.7%
1410 21
 
1.7%
1445 18
 
1.5%
1456 18
 
1.5%
1567 15
 
1.2%
Other values (97) 406
33.8%

Most occurring characters

Value Count Frequency (%)
m 1200
28.4%
1 678
16.0%
601
14.2%
5 355
 
8.4%
4 323
 
7.6%
0 299
 
7.1%
6 278
 
6.6%
9 121
 
2.9%
7 106
 
2.5%
3 98
 
2.3%
Other values (7) 166
 
3.9%

Most occurring categories

Value Count Frequency (%)
Decimal Number 2411
57.1%
Lowercase Letter 1200
28.4%
Space Separator 601
 
14.2%
Other Punctuation 10
 
0.2%
Open Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 678
28.1%
5 355
14.7%
4 323
13.4%
0 299
12.4%
6 278
11.5%
9 121
 
5.0%
7 106
 
4.4%
3 98
 
4.1%
2 84
 
3.5%
8 69
 
2.9%
Other Punctuation
Value Count Frequency (%)
. 9
90.0%
, 1
 
10.0%
Lowercase Letter
Value Count Frequency (%)
m 1200
100.0%
Space Separator
Value Count Frequency (%)
601
100.0%
Open Punctuation
Value Count Frequency (%)
( 1
100.0%
Uppercase Letter
Value Count Frequency (%)
R 1
100.0%
Close Punctuation
Value Count Frequency (%)
) 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 3024
71.6%
Latin 1201
 
28.4%

Most frequent character per script

Common
Value Count Frequency (%)
1 678
22.4%
601
19.9%
5 355
11.7%
4 323
10.7%
0 299
9.9%
6 278
9.2%
9 121
 
4.0%
7 106
 
3.5%
3 98
 
3.2%
2 84
 
2.8%
Other values (5) 81
 
2.7%
Latin
Value Count Frequency (%)
m 1200
99.9%
R 1
 
0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 4225
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
m 1200
28.4%
1 678
16.0%
601
14.2%
5 355
 
8.4%
4 323
 
7.6%
0 299
 
7.1%
6 278
 
6.6%
9 121
 
2.9%
7 106
 
2.5%
3 98
 
2.3%
Other values (7) 166
 
3.9%

Front_Tyre_&_Rim
Categorical

HIGH CARDINALITY
MISSING

Distinct 234
Distinct (%) 19.1%
Missing 49
Missing (%) 3.8%
Memory size 10.1 KiB
185/60R15
 
66
185/65R15
 
43
175/65R14
 
38
165/70R14
 
32
205/65R16
 
28
Other values (229)
1020 

Length

Max length 54
Median length 9
Mean length 9.685411573
Min length 3

Characters and Unicode

Total characters 11884
Distinct characters 48
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 74 ?
Unique (%) 6.0%

Sample

1st row 135/70R12
2nd row 135/70R12
3rd row 135/70R12
4th row 135/70R12
5th row 135/70R12

Common Values

Value Count Frequency (%)
185/60R15 66
 
5.2%
185/65R15 43
 
3.4%
175/65R14 38
 
3.0%
165/70R14 32
 
2.5%
205/65R16 28
 
2.2%
165/80R14 27
 
2.1%
195/55R16 26
 
2.0%
195/60 R16 25
 
2.0%
185/65R14 25
 
2.0%
205/55R16 24
 
1.9%
Other values (224) 893
70.0%
(Missing) 49
 
3.8%

Length

2022-05-22T01:10:41.295151 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
r16 135
 
6.8%
121
 
6.1%
r17 75
 
3.8%
r15 69
 
3.5%
60 67
 
3.4%
185/60r15 66
 
3.3%
r18 53
 
2.7%
r14 50
 
2.5%
185/65r15 43
 
2.2%
175/65r14 38
 
1.9%
Other values (221) 1278
64.1%

Most occurring characters

Value Count Frequency (%)
5 2453
20.6%
1 1895
15.9%
R 1220
10.3%
/ 1212
10.2%
6 1055
8.9%
768
 
6.5%
0 765
 
6.4%
2 747
 
6.3%
7 438
 
3.7%
4 415
 
3.5%
Other values (38) 916
 
7.7%

Most occurring categories

Value Count Frequency (%)
Decimal Number 8535
71.8%
Uppercase Letter 1314
 
11.1%
Other Punctuation 1216
 
10.2%
Space Separator 768
 
6.5%
Lowercase Letter 49
 
0.4%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
l 8
16.3%
e 7
14.3%
a 6
12.2%
s 4
8.2%
c 3
 
6.1%
k 3
 
6.1%
i 3
 
6.1%
o 2
 
4.1%
t 2
 
4.1%
h 2
 
4.1%
Other values (8) 9
18.4%
Uppercase Letter
Value Count Frequency (%)
R 1220
92.8%
P 31
 
2.4%
Z 30
 
2.3%
T 10
 
0.8%
L 9
 
0.7%
F 3
 
0.2%
W 2
 
0.2%
S 2
 
0.2%
Y 2
 
0.2%
B 1
 
0.1%
Other values (4) 4
 
0.3%
Decimal Number
Value Count Frequency (%)
5 2453
28.7%
1 1895
22.2%
6 1055
12.4%
0 765
 
9.0%
2 747
 
8.8%
7 438
 
5.1%
4 415
 
4.9%
8 372
 
4.4%
3 215
 
2.5%
9 180
 
2.1%
Other Punctuation
Value Count Frequency (%)
/ 1212
99.7%
, 2
 
0.2%
" 1
 
0.1%
. 1
 
0.1%
Space Separator
Value Count Frequency (%)
768
100.0%
Open Punctuation
Value Count Frequency (%)
( 2
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 10521
88.5%
Latin 1363
 
11.5%

Most frequent character per script

Latin
Value Count Frequency (%)
R 1220
89.5%
P 31
 
2.3%
Z 30
 
2.2%
T 10
 
0.7%
L 9
 
0.7%
l 8
 
0.6%
e 7
 
0.5%
a 6
 
0.4%
s 4
 
0.3%
c 3
 
0.2%
Other values (22) 35
 
2.6%
Common
Value Count Frequency (%)
5 2453
23.3%
1 1895
18.0%
/ 1212
11.5%
6 1055
10.0%
768
 
7.3%
0 765
 
7.3%
2 747
 
7.1%
7 438
 
4.2%
4 415
 
3.9%
8 372
 
3.5%
Other values (6) 401
 
3.8%

Most occurring blocks

Value Count Frequency (%)
ASCII 11884
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5 2453
20.6%
1 1895
15.9%
R 1220
10.3%
/ 1212
10.2%
6 1055
8.9%
768
 
6.5%
0 765
 
6.4%
2 747
 
6.3%
7 438
 
3.7%
4 415
 
3.5%
Other values (38) 916
 
7.7%

Rear_Tyre_&_Rim
Categorical

HIGH CARDINALITY
MISSING

Distinct 241
Distinct (%) 19.6%
Missing 48
Missing (%) 3.8%
Memory size 10.1 KiB
185/60R15
 
66
185/65R15
 
43
175/65R14
 
38
165/70R14
 
32
205/65R16
 
28
Other values (236)
1021 

Length

Max length 54
Median length 9
Mean length 9.68485342
Min length 3

Characters and Unicode

Total characters 11893
Distinct characters 48
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 86 ?
Unique (%) 7.0%

Sample

1st row 155/65R12
2nd row 155/65R12
3rd row 155/65R12
4th row 155/65R12
5th row 155/65R12

Common Values

Value Count Frequency (%)
185/60R15 66
 
5.2%
185/65R15 43
 
3.4%
175/65R14 38
 
3.0%
165/70R14 32
 
2.5%
205/65R16 28
 
2.2%
165/80R14 27
 
2.1%
195/55R16 26
 
2.0%
195/60 R16 25
 
2.0%
185/65R14 25
 
2.0%
205/55R16 24
 
1.9%
Other values (231) 894
70.1%
(Missing) 48
 
3.8%

Length

2022-05-22T01:10:41.660185 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
r16 135
 
6.8%
120
 
6.0%
r17 75
 
3.8%
r15 70
 
3.5%
60 70
 
3.5%
185/60r15 66
 
3.3%
r18 54
 
2.7%
r14 50
 
2.5%
185/65r15 43
 
2.2%
175/65r14 38
 
1.9%
Other values (233) 1275
63.9%

Most occurring characters

Value Count Frequency (%)
5 2426
20.4%
1 1902
16.0%
R 1221
10.3%
/ 1213
10.2%
6 1060
8.9%
0 793
 
6.7%
768
 
6.5%
2 725
 
6.1%
7 445
 
3.7%
8 385
 
3.2%
Other values (38) 955
 
8.0%

Most occurring categories

Value Count Frequency (%)
Decimal Number 8542
71.8%
Uppercase Letter 1315
 
11.1%
Other Punctuation 1217
 
10.2%
Space Separator 768
 
6.5%
Lowercase Letter 49
 
0.4%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
l 8
16.3%
e 7
14.3%
a 6
12.2%
s 4
8.2%
k 3
 
6.1%
c 3
 
6.1%
i 3
 
6.1%
d 2
 
4.1%
h 2
 
4.1%
o 2
 
4.1%
Other values (8) 9
18.4%
Uppercase Letter
Value Count Frequency (%)
R 1221
92.9%
P 31
 
2.4%
Z 30
 
2.3%
T 10
 
0.8%
L 9
 
0.7%
F 3
 
0.2%
S 2
 
0.2%
W 2
 
0.2%
Y 2
 
0.2%
A 1
 
0.1%
Other values (4) 4
 
0.3%
Decimal Number
Value Count Frequency (%)
5 2426
28.4%
1 1902
22.3%
6 1060
12.4%
0 793
 
9.3%
2 725
 
8.5%
7 445
 
5.2%
8 385
 
4.5%
4 372
 
4.4%
3 245
 
2.9%
9 189
 
2.2%
Other Punctuation
Value Count Frequency (%)
/ 1213
99.7%
, 2
 
0.2%
" 1
 
0.1%
. 1
 
0.1%
Space Separator
Value Count Frequency (%)
768
100.0%
Open Punctuation
Value Count Frequency (%)
( 2
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 10529
88.5%
Latin 1364
 
11.5%

Most frequent character per script

Latin
Value Count Frequency (%)
R 1221
89.5%
P 31
 
2.3%
Z 30
 
2.2%
T 10
 
0.7%
L 9
 
0.7%
l 8
 
0.6%
e 7
 
0.5%
a 6
 
0.4%
s 4
 
0.3%
k 3
 
0.2%
Other values (22) 35
 
2.6%
Common
Value Count Frequency (%)
5 2426
23.0%
1 1902
18.1%
/ 1213
11.5%
6 1060
10.1%
0 793
 
7.5%
768
 
7.3%
2 725
 
6.9%
7 445
 
4.2%
8 385
 
3.7%
4 372
 
3.5%
Other values (6) 440
 
4.2%

Most occurring blocks

Value Count Frequency (%)
ASCII 11893
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5 2426
20.4%
1 1902
16.0%
R 1221
10.3%
/ 1213
10.2%
6 1060
8.9%
0 793
 
6.7%
768
 
6.5%
2 725
 
6.1%
7 445
 
3.7%
8 385
 
3.2%
Other values (38) 955
 
8.0%

Power_Steering
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 0.4%
Missing 57
Missing (%) 4.5%
Memory size 10.1 KiB
Electric Power
924 
Electro-Hydraulic
137 
Yes
 
85
Hydraulic Power
 
72
Electric Power, Hydraulic Power
 
1

Length

Max length 31
Median length 14
Mean length 13.64315012
Min length 3

Characters and Unicode

Total characters 16631
Distinct characters 20
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Electric Power
2nd row Electric Power
3rd row Electric Power
4th row Electric Power
5th row Electric Power

Common Values

Value Count Frequency (%)
Electric Power 924
72.4%
Electro-Hydraulic 137
 
10.7%
Yes 85
 
6.7%
Hydraulic Power 72
 
5.6%
Electric Power, Hydraulic Power 1
 
0.1%
(Missing) 57
 
4.5%

Length

2022-05-22T01:10:42.010237 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:42.371086 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
power 998
45.0%
electric 925
41.7%
electro-hydraulic 137
 
6.2%
yes 85
 
3.8%
hydraulic 73
 
3.3%

Most occurring characters

Value Count Frequency (%)
r 2270
13.6%
c 2197
13.2%
e 2145
12.9%
l 1272
7.6%
o 1135
6.8%
i 1135
6.8%
E 1062
6.4%
t 1062
6.4%
999
6.0%
w 998
6.0%
Other values (10) 2356
14.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 13139
79.0%
Uppercase Letter 2355
 
14.2%
Space Separator 999
 
6.0%
Dash Punctuation 137
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 2270
17.3%
c 2197
16.7%
e 2145
16.3%
l 1272
9.7%
o 1135
8.6%
i 1135
8.6%
t 1062
8.1%
w 998
7.6%
y 210
 
1.6%
d 210
 
1.6%
Other values (3) 505
 
3.8%
Uppercase Letter
Value Count Frequency (%)
E 1062
45.1%
P 998
42.4%
H 210
 
8.9%
Y 85
 
3.6%
Space Separator
Value Count Frequency (%)
999
100.0%
Dash Punctuation
Value Count Frequency (%)
- 137
100.0%
Other Punctuation
Value Count Frequency (%)
, 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 15494
93.2%
Common 1137
 
6.8%

Most frequent character per script

Latin
Value Count Frequency (%)
r 2270
14.7%
c 2197
14.2%
e 2145
13.8%
l 1272
8.2%
o 1135
7.3%
i 1135
7.3%
E 1062
6.9%
t 1062
6.9%
w 998
6.4%
P 998
6.4%
Other values (7) 1220
7.9%
Common
Value Count Frequency (%)
999
87.9%
- 137
 
12.0%
, 1
 
0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 16631
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 2270
13.6%
c 2197
13.2%
e 2145
12.9%
l 1272
7.6%
o 1135
6.8%
i 1135
6.8%
E 1062
6.4%
t 1062
6.4%
999
6.0%
w 998
6.0%
Other values (10) 2356
14.2%

Power_Windows
Categorical

HIGH CORRELATION
MISSING

Distinct 2
Distinct (%) 0.2%
Missing 97
Missing (%) 7.6%
Memory size 10.1 KiB
All Windows
1035 
Only Front Windows
144 

Length

Max length 18
Median length 11
Mean length 11.85496183
Min length 11

Characters and Unicode

Total characters 13977
Distinct characters 15
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Only Front Windows
2nd row Only Front Windows
3rd row Only Front Windows
4th row Only Front Windows
5th row Only Front Windows

Common Values

Value Count Frequency (%)
All Windows 1035
81.1%
Only Front Windows 144
 
11.3%
(Missing) 97
 
7.6%

Length

2022-05-22T01:10:42.730228 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:43.074314 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
windows 1179
47.1%
all 1035
41.4%
only 144
 
5.8%
front 144
 
5.8%

Most occurring characters

Value Count Frequency (%)
l 2214
15.8%
n 1467
10.5%
1323
9.5%
o 1323
9.5%
W 1179
8.4%
i 1179
8.4%
d 1179
8.4%
w 1179
8.4%
s 1179
8.4%
A 1035
7.4%
Other values (5) 720
 
5.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 10152
72.6%
Uppercase Letter 2502
 
17.9%
Space Separator 1323
 
9.5%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
l 2214
21.8%
n 1467
14.5%
o 1323
13.0%
i 1179
11.6%
d 1179
11.6%
w 1179
11.6%
s 1179
11.6%
y 144
 
1.4%
r 144
 
1.4%
t 144
 
1.4%
Uppercase Letter
Value Count Frequency (%)
W 1179
47.1%
A 1035
41.4%
O 144
 
5.8%
F 144
 
5.8%
Space Separator
Value Count Frequency (%)
1323
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 12654
90.5%
Common 1323
 
9.5%

Most frequent character per script

Latin
Value Count Frequency (%)
l 2214
17.5%
n 1467
11.6%
o 1323
10.5%
W 1179
9.3%
i 1179
9.3%
d 1179
9.3%
w 1179
9.3%
s 1179
9.3%
A 1035
8.2%
O 144
 
1.1%
Other values (4) 576
 
4.6%
Common
Value Count Frequency (%)
1323
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 13977
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
l 2214
15.8%
n 1467
10.5%
1323
9.5%
o 1323
9.5%
W 1179
8.4%
i 1179
8.4%
d 1179
8.4%
w 1179
8.4%
s 1179
8.4%
A 1035
7.4%
Other values (5) 720
 
5.2%

Power_Seats
Categorical

HIGH CORRELATION
MISSING

Distinct 3
Distinct (%) 0.8%
Missing 893
Missing (%) 70.0%
Memory size 10.1 KiB
Yes
209 
Yes, with memory
108 
Power seats
66 

Length

Max length 16
Median length 3
Mean length 8.044386423
Min length 3

Characters and Unicode

Total characters 3081
Distinct characters 15
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Yes
2nd row Power seats
3rd row Yes
4th row Yes
5th row Yes, with memory

Common Values

Value Count Frequency (%)
Yes 209
 
16.4%
Yes, with memory 108
 
8.5%
Power seats 66
 
5.2%
(Missing) 893
70.0%

Length

2022-05-22T01:10:43.415095 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:43.781291 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
yes 317
47.7%
with 108
 
16.2%
memory 108
 
16.2%
power 66
 
9.9%
seats 66
 
9.9%

Most occurring characters

Value Count Frequency (%)
e 557
18.1%
s 449
14.6%
Y 317
10.3%
282
9.2%
m 216
 
7.0%
w 174
 
5.6%
t 174
 
5.6%
o 174
 
5.6%
r 174
 
5.6%
, 108
 
3.5%
Other values (5) 456
14.8%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 2308
74.9%
Uppercase Letter 383
 
12.4%
Space Separator 282
 
9.2%
Other Punctuation 108
 
3.5%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 557
24.1%
s 449
19.5%
m 216
 
9.4%
w 174
 
7.5%
t 174
 
7.5%
o 174
 
7.5%
r 174
 
7.5%
i 108
 
4.7%
h 108
 
4.7%
y 108
 
4.7%
Uppercase Letter
Value Count Frequency (%)
Y 317
82.8%
P 66
 
17.2%
Space Separator
Value Count Frequency (%)
282
100.0%
Other Punctuation
Value Count Frequency (%)
, 108
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 2691
87.3%
Common 390
 
12.7%

Most frequent character per script

Latin
Value Count Frequency (%)
e 557
20.7%
s 449
16.7%
Y 317
11.8%
m 216
 
8.0%
w 174
 
6.5%
t 174
 
6.5%
o 174
 
6.5%
r 174
 
6.5%
i 108
 
4.0%
h 108
 
4.0%
Other values (3) 240
8.9%
Common
Value Count Frequency (%)
282
72.3%
, 108
 
27.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 3081
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 557
18.1%
s 449
14.6%
Y 317
10.3%
282
9.2%
m 216
 
7.0%
w 174
 
5.6%
t 174
 
5.6%
o 174
 
5.6%
r 174
 
5.6%
, 108
 
3.5%
Other values (5) 456
14.8%

Keyless_Entry
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 0.5%
Missing 274
Missing (%) 21.5%
Memory size 10.1 KiB
Smart Key
456 
Remote
421 
Yes
103 
Remote, Smart Key
 
21
Smart Key, Remote
 
1

Length

Max length 17
Median length 9
Mean length 7.298403194
Min length 3

Characters and Unicode

Total characters 7313
Distinct characters 14
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Remote
2nd row Remote
3rd row Yes
4th row Remote
5th row Remote

Common Values

Value Count Frequency (%)
Smart Key 456
35.7%
Remote 421
33.0%
Yes 103
 
8.1%
Remote, Smart Key 21
 
1.6%
Smart Key, Remote 1
 
0.1%
(Missing) 274
21.5%

Length

2022-05-22T01:10:44.130921 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:44.499527 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
smart 478
31.8%
key 478
31.8%
remote 443
29.5%
yes 103
 
6.9%

Most occurring characters

Value Count Frequency (%)
e 1467
20.1%
m 921
12.6%
t 921
12.6%
500
 
6.8%
S 478
 
6.5%
a 478
 
6.5%
r 478
 
6.5%
K 478
 
6.5%
y 478
 
6.5%
R 443
 
6.1%
Other values (4) 671
9.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 5289
72.3%
Uppercase Letter 1502
 
20.5%
Space Separator 500
 
6.8%
Other Punctuation 22
 
0.3%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 1467
27.7%
m 921
17.4%
t 921
17.4%
a 478
 
9.0%
r 478
 
9.0%
y 478
 
9.0%
o 443
 
8.4%
s 103
 
1.9%
Uppercase Letter
Value Count Frequency (%)
S 478
31.8%
K 478
31.8%
R 443
29.5%
Y 103
 
6.9%
Space Separator
Value Count Frequency (%)
500
100.0%
Other Punctuation
Value Count Frequency (%)
, 22
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 6791
92.9%
Common 522
 
7.1%

Most frequent character per script

Latin
Value Count Frequency (%)
e 1467
21.6%
m 921
13.6%
t 921
13.6%
S 478
 
7.0%
a 478
 
7.0%
r 478
 
7.0%
K 478
 
7.0%
y 478
 
7.0%
R 443
 
6.5%
o 443
 
6.5%
Other values (2) 206
 
3.0%
Common
Value Count Frequency (%)
500
95.8%
, 22
 
4.2%

Most occurring blocks

Value Count Frequency (%)
ASCII 7313
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 1467
20.1%
m 921
12.6%
t 921
12.6%
500
 
6.8%
S 478
 
6.5%
a 478
 
6.5%
r 478
 
6.5%
K 478
 
6.5%
y 478
 
6.5%
R 443
 
6.1%
Other values (4) 671
9.2%

Power
Categorical

HIGH CARDINALITY

Distinct 372
Distinct (%) 29.2%
Missing 0
Missing (%) 0.0%
Memory size 10.1 KiB
83PS@6000rpm
 
52
75PS@4000rpm
 
37
90PS@4000rpm
 
29
100PS@3750RPM
 
28
68PS@6000rpm
 
25
Other values (367)
1105 

Length

Max length 23
Median length 20
Mean length 12.89811912
Min length 4

Characters and Unicode

Total characters 16458
Distinct characters 29
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 185 ?
Unique (%) 14.5%

Sample

1st row 38PS@5500rpm
2nd row 38PS@5500rpm
3rd row 38PS@5500rpm
4th row 38PS@5500rpm
5th row 38PS@5500rpm

Common Values

Value Count Frequency (%)
83PS@6000rpm 52
 
4.1%
75PS@4000rpm 37
 
2.9%
90PS@4000rpm 29
 
2.3%
100PS@3750RPM 28
 
2.2%
68PS@6000rpm 25
 
2.0%
100PS@3600rpm 23
 
1.8%
86PS@6000rpm 19
 
1.5%
90PS@6000rpm 19
 
1.5%
155PS@3750rpm 19
 
1.5%
68PS@5500rpm 18
 
1.4%
Other values (362) 1007
78.9%

Length

2022-05-22T01:10:44.874912 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
83ps@6000rpm 52
 
3.7%
75ps@4000rpm 37
 
2.6%
rpm 34
 
2.4%
90ps@4000rpm 29
 
2.1%
bhp 28
 
2.0%
28
 
2.0%
100ps@3750rpm 28
 
2.0%
68ps@6000rpm 25
 
1.8%
100ps@3600rpm 23
 
1.6%
86ps@6000rpm 19
 
1.4%
Other values (380) 1104
78.5%

Most occurring characters

Value Count Frequency (%)
0 3514
21.4%
P 1309
 
8.0%
@ 1257
 
7.6%
p 1216
 
7.4%
S 1067
 
6.5%
m 1021
 
6.2%
r 1020
 
6.2%
5 973
 
5.9%
6 787
 
4.8%
1 724
 
4.4%
Other values (19) 3570
21.7%

Most occurring categories

Value Count Frequency (%)
Decimal Number 8543
51.9%
Lowercase Letter 3563
21.6%
Uppercase Letter 2894
 
17.6%
Other Punctuation 1287
 
7.8%
Space Separator 131
 
0.8%
Dash Punctuation 40
 
0.2%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
0 3514
41.1%
5 973
 
11.4%
6 787
 
9.2%
1 724
 
8.5%
4 570
 
6.7%
3 552
 
6.5%
8 447
 
5.2%
7 407
 
4.8%
2 351
 
4.1%
9 218
 
2.6%
Uppercase Letter
Value Count Frequency (%)
P 1309
45.2%
S 1067
36.9%
R 233
 
8.1%
M 233
 
8.1%
B 46
 
1.6%
H 4
 
0.1%
W 1
 
< 0.1%
N 1
 
< 0.1%
Lowercase Letter
Value Count Frequency (%)
p 1216
34.1%
m 1021
28.7%
r 1020
28.6%
h 173
 
4.9%
b 104
 
2.9%
s 28
 
0.8%
k 1
 
< 0.1%
Other Punctuation
Value Count Frequency (%)
@ 1257
97.7%
. 30
 
2.3%
Space Separator
Value Count Frequency (%)
131
100.0%
Dash Punctuation
Value Count Frequency (%)
- 40
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 10001
60.8%
Latin 6457
39.2%

Most frequent character per script

Latin
Value Count Frequency (%)
P 1309
20.3%
p 1216
18.8%
S 1067
16.5%
m 1021
15.8%
r 1020
15.8%
R 233
 
3.6%
M 233
 
3.6%
h 173
 
2.7%
b 104
 
1.6%
B 46
 
0.7%
Other values (5) 35
 
0.5%
Common
Value Count Frequency (%)
0 3514
35.1%
@ 1257
 
12.6%
5 973
 
9.7%
6 787
 
7.9%
1 724
 
7.2%
4 570
 
5.7%
3 552
 
5.5%
8 447
 
4.5%
7 407
 
4.1%
2 351
 
3.5%
Other values (4) 419
 
4.2%

Most occurring blocks

Value Count Frequency (%)
ASCII 16458
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
0 3514
21.4%
P 1309
 
8.0%
@ 1257
 
7.6%
p 1216
 
7.4%
S 1067
 
6.5%
m 1021
 
6.2%
r 1020
 
6.2%
5 973
 
5.9%
6 787
 
4.8%
1 724
 
4.4%
Other values (19) 3570
21.7%

Torque
Categorical

HIGH CARDINALITY

Distinct 342
Distinct (%) 26.8%
Missing 2
Missing (%) 0.2%
Memory size 10.1 KiB
90Nm@3500rpm
 
42
200Nm@1750rpm
 
42
114Nm@4000rpm
 
27
350Nm@1750-2500rpm
 
26
104Nm@4000rpm
 
22
Other values (337)
1115 

Length

Max length 22
Median length 21
Mean length 15.14364207
Min length 4

Characters and Unicode

Total characters 19293
Distinct characters 28
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 148 ?
Unique (%) 11.6%

Sample

1st row 51Nm@4000rpm
2nd row 51Nm@4000rpm
3rd row 51Nm@4000rpm
4th row 51Nm@4000rpm
5th row 51Nm@4000rpm

Common Values

Value Count Frequency (%)
90Nm@3500rpm 42
 
3.3%
200Nm@1750rpm 42
 
3.3%
114Nm@4000rpm 27
 
2.1%
350Nm@1750-2500rpm 26
 
2.0%
104Nm@4000rpm 22
 
1.7%
190NM@1750-2250RPM 21
 
1.6%
250Nm@1500-2500rpm 21
 
1.6%
190Nm@2000rpm 19
 
1.5%
113Nm@4200RPM 19
 
1.5%
110Nm@4800rpm 18
 
1.4%
Other values (332) 1017
79.7%

Length

2022-05-22T01:10:45.258736 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
90nm@3500rpm 42
 
3.0%
200nm@1750rpm 42
 
3.0%
rpm 34
 
2.4%
29
 
2.1%
114nm@4000rpm 27
 
1.9%
350nm@1750-2500rpm 26
 
1.9%
nm 22
 
1.6%
104nm@4000rpm 22
 
1.6%
250nm@1500-2500rpm 21
 
1.5%
190nm@1750-2250rpm 21
 
1.5%
Other values (354) 1117
79.6%

Most occurring characters

Value Count Frequency (%)
0 4595
23.8%
m 2251
11.7%
5 1339
 
6.9%
1 1323
 
6.9%
N 1262
 
6.5%
@ 1255
 
6.5%
p 1087
 
5.6%
r 1085
 
5.6%
2 1066
 
5.5%
4 807
 
4.2%
Other values (18) 3223
16.7%

Most occurring categories

Value Count Frequency (%)
Decimal Number 11028
57.2%
Lowercase Letter 4436
23.0%
Uppercase Letter 1860
 
9.6%
Other Punctuation 1271
 
6.6%
Dash Punctuation 569
 
2.9%
Space Separator 129
 
0.7%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
0 4595
41.7%
5 1339
 
12.1%
1 1323
 
12.0%
2 1066
 
9.7%
4 807
 
7.3%
3 659
 
6.0%
7 508
 
4.6%
6 275
 
2.5%
8 245
 
2.2%
9 211
 
1.9%
Lowercase Letter
Value Count Frequency (%)
m 2251
50.7%
p 1087
24.5%
r 1085
24.5%
n 4
 
0.1%
k 3
 
0.1%
g 3
 
0.1%
h 2
 
< 0.1%
b 1
 
< 0.1%
Uppercase Letter
Value Count Frequency (%)
N 1262
67.8%
M 268
 
14.4%
P 164
 
8.8%
R 164
 
8.8%
K 1
 
0.1%
G 1
 
0.1%
Other Punctuation
Value Count Frequency (%)
@ 1255
98.7%
. 16
 
1.3%
Dash Punctuation
Value Count Frequency (%)
- 569
100.0%
Space Separator
Value Count Frequency (%)
129
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 12997
67.4%
Latin 6296
32.6%

Most frequent character per script

Common
Value Count Frequency (%)
0 4595
35.4%
5 1339
 
10.3%
1 1323
 
10.2%
@ 1255
 
9.7%
2 1066
 
8.2%
4 807
 
6.2%
3 659
 
5.1%
- 569
 
4.4%
7 508
 
3.9%
6 275
 
2.1%
Other values (4) 601
 
4.6%
Latin
Value Count Frequency (%)
m 2251
35.8%
N 1262
20.0%
p 1087
17.3%
r 1085
17.2%
M 268
 
4.3%
P 164
 
2.6%
R 164
 
2.6%
n 4
 
0.1%
k 3
 
< 0.1%
g 3
 
< 0.1%
Other values (4) 5
 
0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 19293
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
0 4595
23.8%
m 2251
11.7%
5 1339
 
6.9%
1 1323
 
6.9%
N 1262
 
6.5%
@ 1255
 
6.5%
p 1087
 
5.6%
r 1085
 
5.6%
2 1066
 
5.5%
4 807
 
4.2%
Other values (18) 3223
16.7%

Odometer
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 0.3%
Missing 43
Missing (%) 3.4%
Memory size 10.1 KiB
Digital
1059 
Analog
 
90
Yes
 
83
Digital, Analog
 
1

Length

Max length 15
Median length 7
Mean length 6.664233577
Min length 3

Characters and Unicode

Total characters 8217
Distinct characters 14
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Digital
2nd row Digital
3rd row Digital
4th row Digital
5th row Digital

Common Values

Value Count Frequency (%)
Digital 1059
83.0%
Analog 90
 
7.1%
Yes 83
 
6.5%
Digital, Analog 1
 
0.1%
(Missing) 43
 
3.4%

Length

2022-05-22T01:10:45.626058 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:45.984257 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
digital 1060
85.9%
analog 91
 
7.4%
yes 83
 
6.7%

Most occurring characters

Value Count Frequency (%)
i 2120
25.8%
g 1151
14.0%
a 1151
14.0%
l 1151
14.0%
D 1060
12.9%
t 1060
12.9%
A 91
 
1.1%
n 91
 
1.1%
o 91
 
1.1%
Y 83
 
1.0%
Other values (4) 168
 
2.0%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6981
85.0%
Uppercase Letter 1234
 
15.0%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 2120
30.4%
g 1151
16.5%
a 1151
16.5%
l 1151
16.5%
t 1060
15.2%
n 91
 
1.3%
o 91
 
1.3%
e 83
 
1.2%
s 83
 
1.2%
Uppercase Letter
Value Count Frequency (%)
D 1060
85.9%
A 91
 
7.4%
Y 83
 
6.7%
Other Punctuation
Value Count Frequency (%)
, 1
100.0%
Space Separator
Value Count Frequency (%)
1
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 8215
> 99.9%
Common 2
 
< 0.1%

Most frequent character per script

Latin
Value Count Frequency (%)
i 2120
25.8%
g 1151
14.0%
a 1151
14.0%
l 1151
14.0%
D 1060
12.9%
t 1060
12.9%
A 91
 
1.1%
n 91
 
1.1%
o 91
 
1.1%
Y 83
 
1.0%
Other values (2) 166
 
2.0%
Common
Value Count Frequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8217
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
i 2120
25.8%
g 1151
14.0%
a 1151
14.0%
l 1151
14.0%
D 1060
12.9%
t 1060
12.9%
A 91
 
1.1%
n 91
 
1.1%
o 91
 
1.1%
Y 83
 
1.0%
Other values (4) 168
 
2.0%

Speedometer
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 0.4%
Missing 45
Missing (%) 3.5%
Memory size 10.1 KiB
Analog
982 
Digital
111 
Yes
 
79
Analog, Digital
 
57
Digital, Analog
 
2

Length

Max length 15
Median length 6
Mean length 6.329000812
Min length 3

Characters and Unicode

Total characters 7791
Distinct characters 14
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Analog
2nd row Analog
3rd row Analog
4th row Analog
5th row Analog

Common Values

Value Count Frequency (%)
Analog 982
77.0%
Digital 111
 
8.7%
Yes 79
 
6.2%
Analog, Digital 57
 
4.5%
Digital, Analog 2
 
0.2%
(Missing) 45
 
3.5%

Length

2022-05-22T01:10:46.317747 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:46.683181 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
analog 1041
80.7%
digital 170
 
13.2%
yes 79
 
6.1%

Most occurring characters

Value Count Frequency (%)
a 1211
15.5%
l 1211
15.5%
g 1211
15.5%
A 1041
13.4%
n 1041
13.4%
o 1041
13.4%
i 340
 
4.4%
D 170
 
2.2%
t 170
 
2.2%
Y 79
 
1.0%
Other values (4) 276
 
3.5%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6383
81.9%
Uppercase Letter 1290
 
16.6%
Other Punctuation 59
 
0.8%
Space Separator 59
 
0.8%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
a 1211
19.0%
l 1211
19.0%
g 1211
19.0%
n 1041
16.3%
o 1041
16.3%
i 340
 
5.3%
t 170
 
2.7%
e 79
 
1.2%
s 79
 
1.2%
Uppercase Letter
Value Count Frequency (%)
A 1041
80.7%
D 170
 
13.2%
Y 79
 
6.1%
Other Punctuation
Value Count Frequency (%)
, 59
100.0%
Space Separator
Value Count Frequency (%)
59
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7673
98.5%
Common 118
 
1.5%

Most frequent character per script

Latin
Value Count Frequency (%)
a 1211
15.8%
l 1211
15.8%
g 1211
15.8%
A 1041
13.6%
n 1041
13.6%
o 1041
13.6%
i 340
 
4.4%
D 170
 
2.2%
t 170
 
2.2%
Y 79
 
1.0%
Other values (2) 158
 
2.1%
Common
Value Count Frequency (%)
, 59
50.0%
59
50.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 7791
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
a 1211
15.5%
l 1211
15.5%
g 1211
15.5%
A 1041
13.4%
n 1041
13.4%
o 1041
13.4%
i 340
 
4.4%
D 170
 
2.2%
t 170
 
2.2%
Y 79
 
1.0%
Other values (4) 276
 
3.5%

Tachometer
Categorical

HIGH CORRELATION
MISSING

Distinct 7
Distinct (%) 0.6%
Missing 13
Missing (%) 1.0%
Memory size 10.1 KiB
Analog
941 
Digital
112 
Yes
110 
Not on offer
 
72
Analog, Digital
 
22
Other values (2)
 
6

Length

Max length 20
Median length 6
Mean length 6.372921615
Min length 3

Characters and Unicode

Total characters 8049
Distinct characters 17
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Not on offer
2nd row Not on offer
3rd row Not on offer
4th row Not on offer
5th row Not on offer

Common Values

Value Count Frequency (%)
Analog 941
73.7%
Digital 112
 
8.8%
Yes 110
 
8.6%
Not on offer 72
 
5.6%
Analog, Digital 22
 
1.7%
Digital, Analog 5
 
0.4%
Analog, Not on offer 1
 
0.1%
(Missing) 13
 
1.0%

Length

2022-05-22T01:10:47.039382 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:47.419759 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
analog 969
67.4%
digital 139
 
9.7%
yes 110
 
7.7%
not 73
 
5.1%
on 73
 
5.1%
offer 73
 
5.1%

Most occurring characters

Value Count Frequency (%)
o 1188
14.8%
a 1108
13.8%
l 1108
13.8%
g 1108
13.8%
n 1042
12.9%
A 969
12.0%
i 278
 
3.5%
t 212
 
2.6%
e 183
 
2.3%
174
 
2.2%
Other values (7) 679
8.4%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6556
81.5%
Uppercase Letter 1291
 
16.0%
Space Separator 174
 
2.2%
Other Punctuation 28
 
0.3%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
o 1188
18.1%
a 1108
16.9%
l 1108
16.9%
g 1108
16.9%
n 1042
15.9%
i 278
 
4.2%
t 212
 
3.2%
e 183
 
2.8%
f 146
 
2.2%
s 110
 
1.7%
Uppercase Letter
Value Count Frequency (%)
A 969
75.1%
D 139
 
10.8%
Y 110
 
8.5%
N 73
 
5.7%
Space Separator
Value Count Frequency (%)
174
100.0%
Other Punctuation
Value Count Frequency (%)
, 28
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7847
97.5%
Common 202
 
2.5%

Most frequent character per script

Latin
Value Count Frequency (%)
o 1188
15.1%
a 1108
14.1%
l 1108
14.1%
g 1108
14.1%
n 1042
13.3%
A 969
12.3%
i 278
 
3.5%
t 212
 
2.7%
e 183
 
2.3%
f 146
 
1.9%
Other values (5) 505
6.4%
Common
Value Count Frequency (%)
174
86.1%
, 28
 
13.9%

Most occurring blocks

Value Count Frequency (%)
ASCII 8049
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
o 1188
14.8%
a 1108
13.8%
l 1108
13.8%
g 1108
13.8%
n 1042
12.9%
A 969
12.0%
i 278
 
3.5%
t 212
 
2.6%
e 183
 
2.3%
174
 
2.2%
Other values (7) 679
8.4%

Tripmeter
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 0.3%
Missing 60
Missing (%) 4.7%
Memory size 10.1 KiB
Yes
986 
2
197 
1
 
26
1, 2
 
7

Length

Max length 4
Median length 3
Mean length 2.638980263
Min length 1

Characters and Unicode

Total characters 3209
Distinct characters 7
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Yes
2nd row Yes
3rd row Yes
4th row Yes
5th row Yes

Common Values

Value Count Frequency (%)
Yes 986
77.3%
2 197
 
15.4%
1 26
 
2.0%
1, 2 7
 
0.5%
(Missing) 60
 
4.7%

Length

2022-05-22T01:10:47.784206 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:48.143720 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
yes 986
80.6%
2 204
 
16.7%
1 33
 
2.7%

Most occurring characters

Value Count Frequency (%)
Y 986
30.7%
e 986
30.7%
s 986
30.7%
2 204
 
6.4%
1 33
 
1.0%
, 7
 
0.2%
7
 
0.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 1972
61.5%
Uppercase Letter 986
30.7%
Decimal Number 237
 
7.4%
Other Punctuation 7
 
0.2%
Space Separator 7
 
0.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 986
50.0%
s 986
50.0%
Decimal Number
Value Count Frequency (%)
2 204
86.1%
1 33
 
13.9%
Uppercase Letter
Value Count Frequency (%)
Y 986
100.0%
Other Punctuation
Value Count Frequency (%)
, 7
100.0%
Space Separator
Value Count Frequency (%)
7
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 2958
92.2%
Common 251
 
7.8%

Most frequent character per script

Common
Value Count Frequency (%)
2 204
81.3%
1 33
 
13.1%
, 7
 
2.8%
7
 
2.8%
Latin
Value Count Frequency (%)
Y 986
33.3%
e 986
33.3%
s 986
33.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 3209
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
Y 986
30.7%
e 986
30.7%
s 986
30.7%
2 204
 
6.4%
1 33
 
1.0%
, 7
 
0.2%
7
 
0.2%

Seating_Capacity
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct 8
Distinct (%) 0.6%
Missing 6
Missing (%) 0.5%
Infinite 0
Infinite (%) 0.0%
Mean 5.27007874
Minimum 2
Maximum 16
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 10.1 KiB
2022-05-22T01:10:48.446535 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum 2
5-th percentile 4
Q1 5
median 5
Q3 5
95-th percentile 7
Maximum 16
Range 14
Interquartile range (IQR) 0

Descriptive statistics

Standard deviation 1.145231313
Coefficient of variation (CV) 0.2173081978
Kurtosis 8.117682473
Mean 5.27007874
Median Absolute Deviation (MAD) 0
Skewness 1.050641421
Sum 6693
Variance 1.311554761
Monotonicity Not monotonic
2022-05-22T01:10:48.780452 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Value Count Frequency (%)
5 915
71.7%
7 183
 
14.3%
4 70
 
5.5%
2 39
 
3.1%
6 26
 
2.0%
9 19
 
1.5%
8 17
 
1.3%
16 1
 
0.1%
(Missing) 6
 
0.5%
Value Count Frequency (%)
2 39
 
3.1%
4 70
 
5.5%
5 915
71.7%
6 26
 
2.0%
7 183
 
14.3%
8 17
 
1.3%
9 19
 
1.5%
16 1
 
0.1%
Value Count Frequency (%)
16 1
 
0.1%
9 19
 
1.5%
8 17
 
1.3%
7 183
 
14.3%
6 26
 
2.0%
5 915
71.7%
4 70
 
5.5%
2 39
 
3.1%

Seats_Material
Categorical

HIGH CORRELATION

Distinct 4
Distinct (%) 0.3%
Missing 12
Missing (%) 0.9%
Memory size 10.1 KiB
Fabric
740 
Leather
511 
Vinyl
 
9
Polyurethene
 
4

Length

Max length 12
Median length 6
Mean length 6.416139241
Min length 5

Characters and Unicode

Total characters 8110
Distinct characters 17
Distinct categories 2 ?
Distinct scripts 1 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Fabric
2nd row Fabric
3rd row Fabric
4th row Fabric
5th row Fabric

Common Values

Value Count Frequency (%)
Fabric 740
58.0%
Leather 511
40.0%
Vinyl 9
 
0.7%
Polyurethene 4
 
0.3%
(Missing) 12
 
0.9%

Length

2022-05-22T01:10:49.144329 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:49.509737 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
fabric 740
58.5%
leather 511
40.4%
vinyl 9
 
0.7%
polyurethene 4
 
0.3%

Most occurring characters

Value Count Frequency (%)
r 1255
15.5%
a 1251
15.4%
e 1034
12.7%
i 749
9.2%
F 740
9.1%
b 740
9.1%
c 740
9.1%
h 515
6.4%
t 515
6.4%
L 511
6.3%
Other values (7) 60
 
0.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6846
84.4%
Uppercase Letter 1264
 
15.6%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 1255
18.3%
a 1251
18.3%
e 1034
15.1%
i 749
10.9%
b 740
10.8%
c 740
10.8%
h 515
7.5%
t 515
7.5%
n 13
 
0.2%
y 13
 
0.2%
Other values (3) 21
 
0.3%
Uppercase Letter
Value Count Frequency (%)
F 740
58.5%
L 511
40.4%
V 9
 
0.7%
P 4
 
0.3%

Most occurring scripts

Value Count Frequency (%)
Latin 8110
100.0%

Most frequent character per script

Latin
Value Count Frequency (%)
r 1255
15.5%
a 1251
15.4%
e 1034
12.7%
i 749
9.2%
F 740
9.1%
b 740
9.1%
c 740
9.1%
h 515
6.4%
t 515
6.4%
L 511
6.3%
Other values (7) 60
 
0.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 8110
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 1255
15.5%
a 1251
15.4%
e 1034
12.7%
i 749
9.2%
F 740
9.1%
b 740
9.1%
c 740
9.1%
h 515
6.4%
t 515
6.4%
L 511
6.3%
Other values (7) 60
 
0.7%

Type
Categorical

HIGH CORRELATION

Distinct 5
Distinct (%) 0.4%
Missing 1
Missing (%) 0.1%
Memory size 10.1 KiB
Manual
725 
Automatic
522 
AMT
 
18
DCT
 
7
CVT
 
3

Length

Max length 9
Median length 6
Mean length 7.162352941
Min length 3

Characters and Unicode

Total characters 9132
Distinct characters 15
Distinct categories 2 ?
Distinct scripts 1 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Manual
2nd row Manual
3rd row Manual
4th row Automatic
5th row Manual

Common Values

Value Count Frequency (%)
Manual 725
56.8%
Automatic 522
40.9%
AMT 18
 
1.4%
DCT 7
 
0.5%
CVT 3
 
0.2%
(Missing) 1
 
0.1%

Length

2022-05-22T01:10:49.857543 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:50.221852 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
manual 725
56.9%
automatic 522
40.9%
amt 18
 
1.4%
dct 7
 
0.5%
cvt 3
 
0.2%

Most occurring characters

Value Count Frequency (%)
a 1972
21.6%
u 1247
13.7%
t 1044
11.4%
M 743
 
8.1%
n 725
 
7.9%
l 725
 
7.9%
A 540
 
5.9%
o 522
 
5.7%
m 522
 
5.7%
i 522
 
5.7%
Other values (5) 570
 
6.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 7801
85.4%
Uppercase Letter 1331
 
14.6%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
a 1972
25.3%
u 1247
16.0%
t 1044
13.4%
n 725
 
9.3%
l 725
 
9.3%
o 522
 
6.7%
m 522
 
6.7%
i 522
 
6.7%
c 522
 
6.7%
Uppercase Letter
Value Count Frequency (%)
M 743
55.8%
A 540
40.6%
T 28
 
2.1%
C 10
 
0.8%
D 7
 
0.5%
V 3
 
0.2%

Most occurring scripts

Value Count Frequency (%)
Latin 9132
100.0%

Most frequent character per script

Latin
Value Count Frequency (%)
a 1972
21.6%
u 1247
13.7%
t 1044
11.4%
M 743
 
8.1%
n 725
 
7.9%
l 725
 
7.9%
A 540
 
5.9%
o 522
 
5.7%
m 522
 
5.7%
i 522
 
5.7%
Other values (5) 570
 
6.2%

Most occurring blocks

Value Count Frequency (%)
ASCII 9132
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
a 1972
21.6%
u 1247
13.7%
t 1044
11.4%
M 743
 
8.1%
n 725
 
7.9%
l 725
 
7.9%
A 540
 
5.9%
o 522
 
5.7%
m 522
 
5.7%
i 522
 
5.7%
Other values (5) 570
 
6.2%

Wheelbase
Categorical

HIGH CARDINALITY
MISSING

Distinct 153
Distinct (%) 12.2%
Missing 20
Missing (%) 1.6%
Memory size 10.1 KiB
2450 mm
 
85
2470 mm
 
49
2425 mm
 
48
2600 mm
 
47
2700 mm
 
41
Other values (148)
986 

Length

Max length 7
Median length 7
Mean length 7
Min length 7

Characters and Unicode

Total characters 8792
Distinct characters 12
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 34 ?
Unique (%) 2.7%

Sample

1st row 2230 mm
2nd row 2230 mm
3rd row 2230 mm
4th row 2230 mm
5th row 2230 mm

Common Values

Value Count Frequency (%)
2450 mm 85
 
6.7%
2470 mm 49
 
3.8%
2425 mm 48
 
3.8%
2600 mm 47
 
3.7%
2700 mm 41
 
3.2%
2750 mm 29
 
2.3%
2498 mm 27
 
2.1%
2673 mm 27
 
2.1%
2636 mm 27
 
2.1%
2490 mm 27
 
2.1%
Other values (143) 849
66.5%

Length

2022-05-22T01:10:50.566051 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
mm 1256
50.0%
2450 85
 
3.4%
2470 49
 
2.0%
2425 48
 
1.9%
2600 47
 
1.9%
2700 41
 
1.6%
2750 29
 
1.2%
2636 27
 
1.1%
2490 27
 
1.1%
2673 27
 
1.1%
Other values (144) 876
34.9%

Most occurring characters

Value Count Frequency (%)
m 2512
28.6%
2 1406
16.0%
1256
14.3%
0 939
 
10.7%
5 583
 
6.6%
4 441
 
5.0%
6 428
 
4.9%
7 312
 
3.5%
3 284
 
3.2%
9 238
 
2.7%
Other values (2) 393
 
4.5%

Most occurring categories

Value Count Frequency (%)
Decimal Number 5024
57.1%
Lowercase Letter 2512
28.6%
Space Separator 1256
 
14.3%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
2 1406
28.0%
0 939
18.7%
5 583
11.6%
4 441
 
8.8%
6 428
 
8.5%
7 312
 
6.2%
3 284
 
5.7%
9 238
 
4.7%
8 234
 
4.7%
1 159
 
3.2%
Lowercase Letter
Value Count Frequency (%)
m 2512
100.0%
Space Separator
Value Count Frequency (%)
1256
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 6280
71.4%
Latin 2512
 
28.6%

Most frequent character per script

Common
Value Count Frequency (%)
2 1406
22.4%
1256
20.0%
0 939
15.0%
5 583
9.3%
4 441
 
7.0%
6 428
 
6.8%
7 312
 
5.0%
3 284
 
4.5%
9 238
 
3.8%
8 234
 
3.7%
Latin
Value Count Frequency (%)
m 2512
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8792
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
m 2512
28.6%
2 1406
16.0%
1256
14.3%
0 939
 
10.7%
5 583
 
6.6%
4 441
 
5.0%
6 428
 
4.9%
7 312
 
3.5%
3 284
 
3.2%
9 238
 
2.7%
Other values (2) 393
 
4.5%

Wheels_Size
Categorical

HIGH CARDINALITY
MISSING

Distinct 209
Distinct (%) 17.1%
Missing 56
Missing (%) 4.4%
Memory size 10.1 KiB
185/60R15
 
67
185/65R15
 
43
175/65R14
 
38
165/70R14
 
32
205/65R16
 
28
Other values (204)
1012 

Length

Max length 54
Median length 9
Mean length 8.840983607
Min length 2

Characters and Unicode

Total characters 10786
Distinct characters 50
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 64 ?
Unique (%) 5.2%

Sample

1st row 4 B X 12
2nd row 4 B X 12
3rd row 4 B X 12
4th row 4 B X 12
5th row 4 B X 12

Common Values

Value Count Frequency (%)
185/60R15 67
 
5.3%
185/65R15 43
 
3.4%
175/65R14 38
 
3.0%
165/70R14 32
 
2.5%
205/65R16 28
 
2.2%
165/80R14 27
 
2.1%
195/55R16 26
 
2.0%
205/55R16 24
 
1.9%
215 / 60 R16 23
 
1.8%
165/65R14 22
 
1.7%
Other values (199) 890
69.7%
(Missing) 56
 
4.4%

Length

2022-05-22T01:10:50.924982 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
r16 126
 
6.8%
92
 
5.0%
r17 74
 
4.0%
185/60r15 67
 
3.6%
r15 61
 
3.3%
r18 53
 
2.9%
60 49
 
2.6%
r14 47
 
2.5%
185/65r15 43
 
2.3%
175/65r14 38
 
2.0%
Other values (199) 1207
65.0%

Most occurring characters

Value Count Frequency (%)
5 2159
20.0%
1 1830
17.0%
R 1156
10.7%
/ 1044
9.7%
6 967
9.0%
0 678
 
6.3%
2 643
 
6.0%
637
 
5.9%
7 413
 
3.8%
4 350
 
3.2%
Other values (40) 909
8.4%

Most occurring categories

Value Count Frequency (%)
Decimal Number 7722
71.6%
Uppercase Letter 1257
 
11.7%
Other Punctuation 1054
 
9.8%
Space Separator 637
 
5.9%
Lowercase Letter 114
 
1.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 20
17.5%
l 14
12.3%
c 11
9.6%
h 10
8.8%
i 9
7.9%
n 8
 
7.0%
s 8
 
7.0%
t 6
 
5.3%
x 6
 
5.3%
o 4
 
3.5%
Other values (9) 18
15.8%
Uppercase Letter
Value Count Frequency (%)
R 1156
92.0%
P 27
 
2.1%
Z 26
 
2.1%
B 10
 
0.8%
L 7
 
0.6%
T 7
 
0.6%
S 6
 
0.5%
X 6
 
0.5%
F 3
 
0.2%
A 3
 
0.2%
Other values (5) 6
 
0.5%
Decimal Number
Value Count Frequency (%)
5 2159
28.0%
1 1830
23.7%
6 967
12.5%
0 678
 
8.8%
2 643
 
8.3%
7 413
 
5.3%
4 350
 
4.5%
8 344
 
4.5%
3 174
 
2.3%
9 164
 
2.1%
Other Punctuation
Value Count Frequency (%)
/ 1044
99.1%
. 7
 
0.7%
, 2
 
0.2%
" 1
 
0.1%
Space Separator
Value Count Frequency (%)
637
100.0%
Open Punctuation
Value Count Frequency (%)
( 2
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 9415
87.3%
Latin 1371
 
12.7%

Most frequent character per script

Latin
Value Count Frequency (%)
R 1156
84.3%
P 27
 
2.0%
Z 26
 
1.9%
e 20
 
1.5%
l 14
 
1.0%
c 11
 
0.8%
B 10
 
0.7%
h 10
 
0.7%
i 9
 
0.7%
n 8
 
0.6%
Other values (24) 80
 
5.8%
Common
Value Count Frequency (%)
5 2159
22.9%
1 1830
19.4%
/ 1044
11.1%
6 967
10.3%
0 678
 
7.2%
2 643
 
6.8%
637
 
6.8%
7 413
 
4.4%
4 350
 
3.7%
8 344
 
3.7%
Other values (6) 350
 
3.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 10786
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5 2159
20.0%
1 1830
17.0%
R 1156
10.7%
/ 1044
9.7%
6 967
9.0%
0 678
 
6.3%
2 643
 
6.0%
637
 
5.9%
7 413
 
3.8%
4 350
 
3.2%
Other values (40) 909
8.4%

Start_/_Stop_Button
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 678
Missing (%) 53.1%
Memory size 2.6 KiB
True
598 
(Missing)
678 
Value Count Frequency (%)
True 598
46.9%
(Missing) 678
53.1%
2022-05-22T01:10:51.273377 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

12v_Power_Outlet
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 0.4%
Missing 154
Missing (%) 12.1%
Memory size 10.1 KiB
Yes
887 
2
133 
1
 
58
3
 
38
4
 
6

Length

Max length 3
Median length 3
Mean length 2.581105169
Min length 1

Characters and Unicode

Total characters 2896
Distinct characters 7
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Yes
2nd row Yes
3rd row Yes
4th row Yes
5th row Yes

Common Values

Value Count Frequency (%)
Yes 887
69.5%
2 133
 
10.4%
1 58
 
4.5%
3 38
 
3.0%
4 6
 
0.5%
(Missing) 154
 
12.1%

Length

2022-05-22T01:10:51.600131 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:51.958866 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
yes 887
79.1%
2 133
 
11.9%
1 58
 
5.2%
3 38
 
3.4%
4 6
 
0.5%

Most occurring characters

Value Count Frequency (%)
Y 887
30.6%
e 887
30.6%
s 887
30.6%
2 133
 
4.6%
1 58
 
2.0%
3 38
 
1.3%
4 6
 
0.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 1774
61.3%
Uppercase Letter 887
30.6%
Decimal Number 235
 
8.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
2 133
56.6%
1 58
24.7%
3 38
 
16.2%
4 6
 
2.6%
Lowercase Letter
Value Count Frequency (%)
e 887
50.0%
s 887
50.0%
Uppercase Letter
Value Count Frequency (%)
Y 887
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 2661
91.9%
Common 235
 
8.1%

Most frequent character per script

Common
Value Count Frequency (%)
2 133
56.6%
1 58
24.7%
3 38
 
16.2%
4 6
 
2.6%
Latin
Value Count Frequency (%)
Y 887
33.3%
e 887
33.3%
s 887
33.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 2896
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
Y 887
30.6%
e 887
30.6%
s 887
30.6%
2 133
 
4.6%
1 58
 
2.0%
3 38
 
1.3%
4 6
 
0.2%

Audiosystem
Categorical

HIGH CORRELATION
MISSING

Distinct 8
Distinct (%) 0.6%
Missing 44
Missing (%) 3.4%
Memory size 10.1 KiB
CD Player with USB & Aux-in
440 
CD/MP3/DVD Player with USB & Aux-in
371 
Not on offer
213 
DVD Player with USB & Aux-in
101 
USB & Aux-in
84 
Other values (3)
 
23

Length

Max length 35
Median length 28
Mean length 25.63474026
Min length 12

Characters and Unicode

Total characters 31582
Distinct characters 30
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row CD Player with USB & Aux-in
2nd row Not on offer
3rd row Not on offer
4th row CD Player with USB & Aux-in
5th row Not on offer

Common Values

Value Count Frequency (%)
CD Player with USB & Aux-in 440
34.5%
CD/MP3/DVD Player with USB & Aux-in 371
29.1%
Not on offer 213
16.7%
DVD Player with USB & Aux-in 101
 
7.9%
USB & Aux-in 84
 
6.6%
CD/MP3 Player 20
 
1.6%
CD Player with Aux-in 2
 
0.2%
CD Player with USB Only 1
 
0.1%
(Missing) 44
 
3.4%

Length

2022-05-22T01:10:52.301819 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:52.689301 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
aux-in 998
15.6%
usb 997
15.5%
996
15.5%
player 935
14.6%
with 915
14.3%
cd 443
6.9%
cd/mp3/dvd 371
 
5.8%
not 213
 
3.3%
on 213
 
3.3%
offer 213
 
3.3%
Other values (3) 122
 
1.9%

Most occurring characters

Value Count Frequency (%)
5184
 
16.4%
i 1913
 
6.1%
D 1778
 
5.6%
P 1326
 
4.2%
n 1212
 
3.8%
e 1148
 
3.6%
r 1148
 
3.6%
t 1128
 
3.6%
x 998
 
3.2%
u 998
 
3.2%
Other values (20) 14749
46.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 14247
45.1%
Uppercase Letter 9004
28.5%
Space Separator 5184
 
16.4%
Other Punctuation 1758
 
5.6%
Dash Punctuation 998
 
3.2%
Decimal Number 391
 
1.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 1913
13.4%
n 1212
8.5%
e 1148
 
8.1%
r 1148
 
8.1%
t 1128
 
7.9%
x 998
 
7.0%
u 998
 
7.0%
y 936
 
6.6%
l 936
 
6.6%
a 935
 
6.6%
Other values (4) 2895
20.3%
Uppercase Letter
Value Count Frequency (%)
D 1778
19.7%
P 1326
14.7%
A 998
11.1%
U 997
11.1%
S 997
11.1%
B 997
11.1%
C 834
9.3%
V 472
 
5.2%
M 391
 
4.3%
N 213
 
2.4%
Other Punctuation
Value Count Frequency (%)
& 996
56.7%
/ 762
43.3%
Space Separator
Value Count Frequency (%)
5184
100.0%
Dash Punctuation
Value Count Frequency (%)
- 998
100.0%
Decimal Number
Value Count Frequency (%)
3 391
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 23251
73.6%
Common 8331
 
26.4%

Most frequent character per script

Latin
Value Count Frequency (%)
i 1913
 
8.2%
D 1778
 
7.6%
P 1326
 
5.7%
n 1212
 
5.2%
e 1148
 
4.9%
r 1148
 
4.9%
t 1128
 
4.9%
x 998
 
4.3%
u 998
 
4.3%
A 998
 
4.3%
Other values (15) 10604
45.6%
Common
Value Count Frequency (%)
5184
62.2%
- 998
 
12.0%
& 996
 
12.0%
/ 762
 
9.1%
3 391
 
4.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 31582
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5184
 
16.4%
i 1913
 
6.1%
D 1778
 
5.6%
P 1326
 
4.2%
n 1212
 
3.8%
e 1148
 
3.6%
r 1148
 
3.6%
t 1128
 
3.6%
x 998
 
3.2%
u 998
 
3.2%
Other values (20) 14749
46.7%

Aux-in_Compatibility
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 284
Missing (%) 22.3%
Memory size 2.6 KiB
True
992 
(Missing)
284 
Value Count Frequency (%)
True 992
77.7%
(Missing) 284
 
22.3%
2022-05-22T01:10:53.051868 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Average_Fuel_Consumption
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 345
Missing (%) 27.0%
Memory size 2.6 KiB
True
931 
(Missing)
345 
Value Count Frequency (%)
True 931
73.0%
(Missing) 345
 
27.0%
2022-05-22T01:10:53.350995 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Basic_Warranty
Categorical

HIGH CORRELATION
MISSING

Distinct 28
Distinct (%) 3.3%
Missing 440
Missing (%) 34.5%
Memory size 10.1 KiB
2 years / Unlimited Kms
132 
3 years / Unlimited Kms
118 
2 years /40000 Kms (years/distance whichever comes first)
110 
3 years /100000 Kms (years/distance whichever comes first)
85 
3 Years/1,00,000 Kms (Whichever comes earlier)
77 
Other values (23)
314 

Length

Max length 63
Median length 60
Mean length 41.89952153
Min length 16

Characters and Unicode

Total characters 35028
Distinct characters 43
Distinct categories 7 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row 2 years /75000 Kms (years/distance whichever comes first)
2nd row 2 years /75000 Kms (years/distance whichever comes first)
3rd row 2 years /75000 Kms (years/distance whichever comes first)
4th row 2 years /75000 Kms (years/distance whichever comes first)
5th row 2 years /75000 Kms (years/distance whichever comes first)

Common Values

Value Count Frequency (%)
2 years / Unlimited Kms 132
 
10.3%
3 years / Unlimited Kms 118
 
9.2%
2 years /40000 Kms (years/distance whichever comes first) 110
 
8.6%
3 years /100000 Kms (years/distance whichever comes first) 85
 
6.7%
3 Years/1,00,000 Kms (Whichever comes earlier) 77
 
6.0%
2 Years / 40,000 Kms (Whichever comes earlier) 54
 
4.2%
2 Years / 100,000 Kms (whichever comes first) 51
 
4.0%
2 years /75000 Kms (years/distance whichever comes first) 31
 
2.4%
2 years /1,00,000 Kms (years/distance whichever comes first) 30
 
2.4%
24 months /50000 Kms (whichever comes first) 20
 
1.6%
Other values (18) 128
 
10.0%
(Missing) 440
34.5%

Length

2022-05-22T01:10:53.684579 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
kms 780
13.9%
years 726
12.9%
whichever 543
9.7%
comes 522
9.3%
2 466
8.3%
424
7.5%
first 375
6.7%
3 325
 
5.8%
years/distance 293
 
5.2%
unlimited 270
 
4.8%
Other values (33) 901
16.0%

Most occurring characters

Value Count Frequency (%)
4789
13.7%
e 3626
 
10.4%
s 3120
 
8.9%
0 2426
 
6.9%
r 2416
 
6.9%
i 1951
 
5.6%
m 1623
 
4.6%
a 1616
 
4.6%
c 1358
 
3.9%
/ 1115
 
3.2%
Other values (33) 10988
31.4%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 22254
63.5%
Space Separator 4789
 
13.7%
Decimal Number 3890
 
11.1%
Other Punctuation 1513
 
4.3%
Uppercase Letter 1496
 
4.3%
Close Punctuation 543
 
1.6%
Open Punctuation 543
 
1.6%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 3626
16.3%
s 3120
14.0%
r 2416
10.9%
i 1951
8.8%
m 1623
7.3%
a 1616
7.3%
c 1358
 
6.1%
h 1112
 
5.0%
t 993
 
4.5%
y 893
 
4.0%
Other values (10) 3546
15.9%
Decimal Number
Value Count Frequency (%)
0 2426
62.4%
2 486
 
12.5%
3 332
 
8.5%
1 284
 
7.3%
4 199
 
5.1%
5 102
 
2.6%
7 48
 
1.2%
8 8
 
0.2%
6 5
 
0.1%
Uppercase Letter
Value Count Frequency (%)
K 804
53.7%
U 270
 
18.0%
Y 239
 
16.0%
W 157
 
10.5%
M 20
 
1.3%
L 3
 
0.2%
B 3
 
0.2%
Other Punctuation
Value Count Frequency (%)
/ 1115
73.7%
, 375
 
24.8%
* 20
 
1.3%
. 3
 
0.2%
Space Separator
Value Count Frequency (%)
4789
100.0%
Close Punctuation
Value Count Frequency (%)
) 543
100.0%
Open Punctuation
Value Count Frequency (%)
( 543
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 23750
67.8%
Common 11278
32.2%

Most frequent character per script

Latin
Value Count Frequency (%)
e 3626
15.3%
s 3120
13.1%
r 2416
10.2%
i 1951
 
8.2%
m 1623
 
6.8%
a 1616
 
6.8%
c 1358
 
5.7%
h 1112
 
4.7%
t 993
 
4.2%
y 893
 
3.8%
Other values (17) 5042
21.2%
Common
Value Count Frequency (%)
4789
42.5%
0 2426
21.5%
/ 1115
 
9.9%
) 543
 
4.8%
( 543
 
4.8%
2 486
 
4.3%
, 375
 
3.3%
3 332
 
2.9%
1 284
 
2.5%
4 199
 
1.8%
Other values (6) 186
 
1.6%

Most occurring blocks

Value Count Frequency (%)
ASCII 35028
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
4789
13.7%
e 3626
 
10.4%
s 3120
 
8.9%
0 2426
 
6.9%
r 2416
 
6.9%
i 1951
 
5.6%
m 1623
 
4.6%
a 1616
 
4.6%
c 1358
 
3.9%
/ 1115
 
3.2%
Other values (33) 10988
31.4%

Bluetooth
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 292
Missing (%) 22.9%
Memory size 2.6 KiB
True
984 
(Missing)
292 
Value Count Frequency (%)
True 984
77.1%
(Missing) 292
 
22.9%
2022-05-22T01:10:54.024910 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Boot-lid_Opener
Categorical

HIGH CORRELATION
MISSING

Distinct 12
Distinct (%) 1.0%
Missing 14
Missing (%) 1.1%
Memory size 10.1 KiB
Internal
536 
With Remote, Internal
219 
Internal, With Remote
204 
Manual
171 
With Remote
64 
Other values (7)
68 

Length

Max length 29
Median length 21
Mean length 12.81141046
Min length 6

Characters and Unicode

Total characters 16168
Distinct characters 17
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 2 ?
Unique (%) 0.2%

Sample

1st row Internal
2nd row Internal
3rd row Internal
4th row Internal
5th row Internal

Common Values

Value Count Frequency (%)
Internal 536
42.0%
With Remote, Internal 219
17.2%
Internal, With Remote 204
 
16.0%
Manual 171
 
13.4%
With Remote 64
 
5.0%
Manual, With Remote 26
 
2.0%
Manual, Internal 22
 
1.7%
With Remote, Manual 12
 
0.9%
With Remote, Manual, Internal 3
 
0.2%
Internal, Manual 3
 
0.2%
Other values (2) 2
 
0.2%
(Missing) 14
 
1.1%

Length

2022-05-22T01:10:54.353520 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
internal 989
43.2%
with 530
23.2%
remote 530
23.2%
manual 239
 
10.4%

Most occurring characters

Value Count Frequency (%)
n 2217
13.7%
t 2049
12.7%
e 2049
12.7%
a 1467
9.1%
l 1228
 
7.6%
1026
 
6.3%
I 989
 
6.1%
r 989
 
6.1%
R 530
 
3.3%
o 530
 
3.3%
Other values (7) 3094
19.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 12358
76.4%
Uppercase Letter 2288
 
14.2%
Space Separator 1026
 
6.3%
Other Punctuation 496
 
3.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
n 2217
17.9%
t 2049
16.6%
e 2049
16.6%
a 1467
11.9%
l 1228
9.9%
r 989
8.0%
o 530
 
4.3%
m 530
 
4.3%
i 530
 
4.3%
h 530
 
4.3%
Uppercase Letter
Value Count Frequency (%)
I 989
43.2%
R 530
23.2%
W 530
23.2%
M 239
 
10.4%
Space Separator
Value Count Frequency (%)
1026
100.0%
Other Punctuation
Value Count Frequency (%)
, 496
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 14646
90.6%
Common 1522
 
9.4%

Most frequent character per script

Latin
Value Count Frequency (%)
n 2217
15.1%
t 2049
14.0%
e 2049
14.0%
a 1467
10.0%
l 1228
8.4%
I 989
6.8%
r 989
6.8%
R 530
 
3.6%
o 530
 
3.6%
m 530
 
3.6%
Other values (5) 2068
14.1%
Common
Value Count Frequency (%)
1026
67.4%
, 496
32.6%

Most occurring blocks

Value Count Frequency (%)
ASCII 16168
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
n 2217
13.7%
t 2049
12.7%
e 2049
12.7%
a 1467
9.1%
l 1228
 
7.6%
1026
 
6.3%
I 989
 
6.1%
r 989
 
6.1%
R 530
 
3.3%
o 530
 
3.3%
Other values (7) 3094
19.1%

Boot_Space
Categorical

HIGH CARDINALITY
MISSING

Distinct 138
Distinct (%) 13.4%
Missing 249
Missing (%) 19.5%
Memory size 10.1 KiB
350 litres
 
44
475 litres
 
35
460 litres
 
31
510 litres
 
30
251 litres
 
28
Other values (133)
859 

Length

Max length 67
Median length 10
Mean length 10.48198637
Min length 9

Characters and Unicode

Total characters 10765
Distinct characters 31
Distinct categories 7 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 32 ?
Unique (%) 3.1%

Sample

1st row 110 litres
2nd row 110 litres
3rd row 110 litres
4th row 94 litres
5th row 110 litres

Common Values

Value Count Frequency (%)
350 litres 44
 
3.4%
475 litres 35
 
2.7%
460 litres 31
 
2.4%
510 litres 30
 
2.4%
251 litres 28
 
2.2%
420 litres 24
 
1.9%
256 litres 22
 
1.7%
243 litres 22
 
1.7%
400 litres 21
 
1.6%
235 litres 21
 
1.6%
Other values (128) 749
58.7%
(Missing) 249
 
19.5%

Length

2022-05-22T01:10:54.726630 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
litres 1027
50.0%
350 44
 
2.1%
475 35
 
1.7%
460 31
 
1.5%
510 30
 
1.5%
251 28
 
1.4%
420 24
 
1.2%
256 22
 
1.1%
243 22
 
1.1%
400 21
 
1.0%
Other values (129) 770
37.5%

Most occurring characters

Value Count Frequency (%)
l 1063
9.9%
r 1045
9.7%
e 1045
9.7%
s 1036
9.6%
1027
9.5%
i 1027
9.5%
t 1027
9.5%
0 528
 
4.9%
5 506
 
4.7%
2 443
 
4.1%
Other values (21) 2018
18.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6441
59.8%
Decimal Number 3152
29.3%
Space Separator 1027
 
9.5%
Uppercase Letter 72
 
0.7%
Open Punctuation 27
 
0.3%
Close Punctuation 27
 
0.3%
Other Punctuation 19
 
0.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
l 1063
16.5%
r 1045
16.2%
e 1045
16.2%
s 1036
16.1%
i 1027
15.9%
t 1027
15.9%
d 72
 
1.1%
o 54
 
0.8%
w 36
 
0.6%
n 18
 
0.3%
Other values (2) 18
 
0.3%
Decimal Number
Value Count Frequency (%)
0 528
16.8%
5 506
16.1%
2 443
14.1%
3 426
13.5%
4 414
13.1%
6 192
 
6.1%
1 179
 
5.7%
9 158
 
5.0%
7 154
 
4.9%
8 152
 
4.8%
Uppercase Letter
Value Count Frequency (%)
R 36
50.0%
F 18
25.0%
A 9
 
12.5%
U 9
 
12.5%
Other Punctuation
Value Count Frequency (%)
. 10
52.6%
& 9
47.4%
Space Separator
Value Count Frequency (%)
1027
100.0%
Open Punctuation
Value Count Frequency (%)
( 27
100.0%
Close Punctuation
Value Count Frequency (%)
) 27
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 6513
60.5%
Common 4252
39.5%

Most frequent character per script

Latin
Value Count Frequency (%)
l 1063
16.3%
r 1045
16.0%
e 1045
16.0%
s 1036
15.9%
i 1027
15.8%
t 1027
15.8%
d 72
 
1.1%
o 54
 
0.8%
R 36
 
0.6%
w 36
 
0.6%
Other values (6) 72
 
1.1%
Common
Value Count Frequency (%)
1027
24.2%
0 528
12.4%
5 506
11.9%
2 443
10.4%
3 426
10.0%
4 414
9.7%
6 192
 
4.5%
1 179
 
4.2%
9 158
 
3.7%
7 154
 
3.6%
Other values (5) 225
 
5.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 10765
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
l 1063
9.9%
r 1045
9.7%
e 1045
9.7%
s 1036
9.6%
1027
9.5%
i 1027
9.5%
t 1027
9.5%
0 528
 
4.9%
5 506
 
4.7%
2 443
 
4.1%
Other values (21) 2018
18.7%

CD_/_MP3_/_DVD_Player
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 309
Missing (%) 24.2%
Memory size 2.6 KiB
True
967 
(Missing)
309 
Value Count Frequency (%)
True 967
75.8%
(Missing) 309
 
24.2%
2022-05-22T01:10:55.062008 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Central_Locking
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 149
Missing (%) 11.7%
Memory size 2.6 KiB
True
1127 
(Missing)
149 
Value Count Frequency (%)
True 1127
88.3%
(Missing) 149
 
11.7%
2022-05-22T01:10:55.364610 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Child_Safety_Locks
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 75
Missing (%) 5.9%
Memory size 2.6 KiB
True
1201 
(Missing)
 
75
Value Count Frequency (%)
True 1201
94.1%
(Missing) 75
 
5.9%
2022-05-22T01:10:55.681407 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Clock
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 0.4%
Missing 134
Missing (%) 10.5%
Memory size 10.1 KiB
Digital
1058 
Analog
 
41
Yes
 
39
Digital, Analog
 
4

Length

Max length 15
Median length 7
Mean length 6.855516637
Min length 3

Characters and Unicode

Total characters 7829
Distinct characters 14
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Digital
2nd row Digital
3rd row Digital
4th row Digital
5th row Digital

Common Values

Value Count Frequency (%)
Digital 1058
82.9%
Analog 41
 
3.2%
Yes 39
 
3.1%
Digital, Analog 4
 
0.3%
(Missing) 134
 
10.5%

Length

2022-05-22T01:10:56.005137 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:56.351997 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
digital 1062
92.7%
analog 45
 
3.9%
yes 39
 
3.4%

Most occurring characters

Value Count Frequency (%)
i 2124
27.1%
g 1107
14.1%
a 1107
14.1%
l 1107
14.1%
D 1062
13.6%
t 1062
13.6%
A 45
 
0.6%
n 45
 
0.6%
o 45
 
0.6%
Y 39
 
0.5%
Other values (4) 86
 
1.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6675
85.3%
Uppercase Letter 1146
 
14.6%
Other Punctuation 4
 
0.1%
Space Separator 4
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 2124
31.8%
g 1107
16.6%
a 1107
16.6%
l 1107
16.6%
t 1062
15.9%
n 45
 
0.7%
o 45
 
0.7%
e 39
 
0.6%
s 39
 
0.6%
Uppercase Letter
Value Count Frequency (%)
D 1062
92.7%
A 45
 
3.9%
Y 39
 
3.4%
Other Punctuation
Value Count Frequency (%)
, 4
100.0%
Space Separator
Value Count Frequency (%)
4
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7821
99.9%
Common 8
 
0.1%

Most frequent character per script

Latin
Value Count Frequency (%)
i 2124
27.2%
g 1107
14.2%
a 1107
14.2%
l 1107
14.2%
D 1062
13.6%
t 1062
13.6%
A 45
 
0.6%
n 45
 
0.6%
o 45
 
0.6%
Y 39
 
0.5%
Other values (2) 78
 
1.0%
Common
Value Count Frequency (%)
, 4
50.0%
4
50.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 7829
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
i 2124
27.1%
g 1107
14.1%
a 1107
14.1%
l 1107
14.1%
D 1062
13.6%
t 1062
13.6%
A 45
 
0.6%
n 45
 
0.6%
o 45
 
0.6%
Y 39
 
0.5%
Other values (4) 86
 
1.1%

Cup_Holders
Categorical

HIGH CORRELATION
MISSING

Distinct 9
Distinct (%) 0.7%
Missing 41
Missing (%) 3.2%
Memory size 10.1 KiB
Front & Rear
591 
Front
459 
Yes
112 
Not on offer
 
51
Centre
 
14
Other values (4)
 
8

Length

Max length 26
Median length 12
Mean length 8.567611336
Min length 3

Characters and Unicode

Total characters 10581
Distinct characters 16
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 2 ?
Unique (%) 0.2%

Sample

1st row Front
2nd row Front
3rd row Front
4th row Front
5th row Front

Common Values

Value Count Frequency (%)
Front & Rear 591
46.3%
Front 459
36.0%
Yes 112
 
8.8%
Not on offer 51
 
4.0%
Centre 14
 
1.1%
Front, Front & Rear 4
 
0.3%
Front & Rear, Centre 2
 
0.2%
Centre, Front & Rear 1
 
0.1%
Not on offer, Front & Rear 1
 
0.1%
(Missing) 41
 
3.2%

Length

2022-05-22T01:10:56.693812 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:57.082093 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
front 1062
41.7%
599
23.5%
rear 599
23.5%
yes 112
 
4.4%
not 52
 
2.0%
on 52
 
2.0%
offer 52
 
2.0%
centre 17
 
0.7%

Most occurring characters

Value Count Frequency (%)
r 1730
16.4%
1310
12.4%
o 1218
11.5%
n 1131
10.7%
t 1131
10.7%
F 1062
10.0%
e 797
7.5%
& 599
 
5.7%
R 599
 
5.7%
a 599
 
5.7%
Other values (6) 405
 
3.8%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6822
64.5%
Uppercase Letter 1842
 
17.4%
Space Separator 1310
 
12.4%
Other Punctuation 607
 
5.7%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 1730
25.4%
o 1218
17.9%
n 1131
16.6%
t 1131
16.6%
e 797
11.7%
a 599
 
8.8%
s 112
 
1.6%
f 104
 
1.5%
Uppercase Letter
Value Count Frequency (%)
F 1062
57.7%
R 599
32.5%
Y 112
 
6.1%
N 52
 
2.8%
C 17
 
0.9%
Other Punctuation
Value Count Frequency (%)
& 599
98.7%
, 8
 
1.3%
Space Separator
Value Count Frequency (%)
1310
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 8664
81.9%
Common 1917
 
18.1%

Most frequent character per script

Latin
Value Count Frequency (%)
r 1730
20.0%
o 1218
14.1%
n 1131
13.1%
t 1131
13.1%
F 1062
12.3%
e 797
9.2%
R 599
 
6.9%
a 599
 
6.9%
Y 112
 
1.3%
s 112
 
1.3%
Other values (3) 173
 
2.0%
Common
Value Count Frequency (%)
1310
68.3%
& 599
31.2%
, 8
 
0.4%

Most occurring blocks

Value Count Frequency (%)
ASCII 10581
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 1730
16.4%
1310
12.4%
o 1218
11.5%
n 1131
10.7%
t 1131
10.7%
F 1062
10.0%
e 797
7.5%
& 599
 
5.7%
R 599
 
5.7%
a 599
 
5.7%
Other values (6) 405
 
3.8%

Distance_to_Empty
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 243
Missing (%) 19.0%
Memory size 2.6 KiB
True
1033 
(Missing)
243 
Value Count Frequency (%)
True 1033
81.0%
(Missing) 243
 
19.0%
2022-05-22T01:10:57.437831 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Door_Pockets
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 0.3%
Missing 117
Missing (%) 9.2%
Memory size 10.1 KiB
Front & Rear
697 
Front
309 
Yes
145 
Front, Front & Rear
 
8

Length

Max length 19
Median length 12
Mean length 9.05608283
Min length 3

Characters and Unicode

Total characters 10496
Distinct characters 13
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Front
2nd row Front
3rd row Front
4th row Front
5th row Front

Common Values

Value Count Frequency (%)
Front & Rear 697
54.6%
Front 309
24.2%
Yes 145
 
11.4%
Front, Front & Rear 8
 
0.6%
(Missing) 117
 
9.2%

Length

2022-05-22T01:10:57.775972 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:10:58.137142 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
front 1022
39.7%
705
27.4%
rear 705
27.4%
yes 145
 
5.6%

Most occurring characters

Value Count Frequency (%)
r 1727
16.5%
1418
13.5%
F 1022
9.7%
o 1022
9.7%
n 1022
9.7%
t 1022
9.7%
e 850
8.1%
& 705
6.7%
R 705
6.7%
a 705
6.7%
Other values (3) 298
 
2.8%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6493
61.9%
Uppercase Letter 1872
 
17.8%
Space Separator 1418
 
13.5%
Other Punctuation 713
 
6.8%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 1727
26.6%
o 1022
15.7%
n 1022
15.7%
t 1022
15.7%
e 850
13.1%
a 705
10.9%
s 145
 
2.2%
Uppercase Letter
Value Count Frequency (%)
F 1022
54.6%
R 705
37.7%
Y 145
 
7.7%
Other Punctuation
Value Count Frequency (%)
& 705
98.9%
, 8
 
1.1%
Space Separator
Value Count Frequency (%)
1418
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 8365
79.7%
Common 2131
 
20.3%

Most frequent character per script

Latin
Value Count Frequency (%)
r 1727
20.6%
F 1022
12.2%
o 1022
12.2%
n 1022
12.2%
t 1022
12.2%
e 850
10.2%
R 705
8.4%
a 705
8.4%
Y 145
 
1.7%
s 145
 
1.7%
Common
Value Count Frequency (%)
1418
66.5%
& 705
33.1%
, 8
 
0.4%

Most occurring blocks

Value Count Frequency (%)
ASCII 10496
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 1727
16.5%
1418
13.5%
F 1022
9.7%
o 1022
9.7%
n 1022
9.7%
t 1022
9.7%
e 850
8.1%
& 705
6.7%
R 705
6.7%
a 705
6.7%
Other values (3) 298
 
2.8%

Engine_Malfunction_Light
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 117
Missing (%) 9.2%
Memory size 2.6 KiB
True
1159 
(Missing)
117 
Value Count Frequency (%)
True 1159
90.8%
(Missing) 117
 
9.2%
2022-05-22T01:10:58.467664 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Extended_Warranty
Categorical

HIGH CORRELATION
MISSING

Distinct 36
Distinct (%) 5.9%
Missing 661
Missing (%) 51.8%
Memory size 10.1 KiB
3rd/4th year/up to 80,000 Kms (whichever comes first)
110 
2 years /100000 Kms (years/distance whichever comes first)
40 
4th year /with (absolutely no mileage restriction)
39 
1 years /20000 Kms (years/distance whichever comes first)
 
35
2 Years/Unlimited Kms (Whichever comes earlier)
 
31
Other values (31)
360 

Length

Max length 138
Median length 68
Mean length 52.94471545
Min length 14

Characters and Unicode

Total characters 32561
Distinct characters 45
Distinct categories 8 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 2 ?
Unique (%) 0.3%

Sample

1st row 2 years /150000 Kms (years/distance whichever comes first)
2nd row 2 years /150000 Kms (years/distance whichever comes first)
3rd row 2 years /150000 Kms (years/distance whichever comes first)
4th row 2 years /150000 Kms (years/distance whichever comes first)
5th row 2 years /150000 Kms (years/distance whichever comes first)

Common Values

Value Count Frequency (%)
3rd/4th year/up to 80,000 Kms (whichever comes first) 110
 
8.6%
2 years /100000 Kms (years/distance whichever comes first) 40
 
3.1%
4th year /with (absolutely no mileage restriction) 39
 
3.1%
1 years /20000 Kms (years/distance whichever comes first) 35
 
2.7%
2 Years/Unlimited Kms (Whichever comes earlier) 31
 
2.4%
Up to 5 Year / 30
 
2.4%
3 Years/Unlimited km Warranty* 24
 
1.9%
12/24 months /2,00,000 Kms (Whichever comes earlier) 23
 
1.8%
2 years / 100,000 kms (whichever occurs first) 21
 
1.6%
4th years /1,20,000 Kms (years/distance whichever comes first) 21
 
1.6%
Other values (26) 241
 
18.9%
(Missing) 661
51.8%

Length

2022-05-22T01:10:58.826224 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
kms 462
 
9.2%
whichever 461
 
9.2%
comes 437
 
8.7%
first 351
 
7.0%
years 327
 
6.5%
to 216
 
4.3%
years/distance 199
 
4.0%
2 197
 
3.9%
year 160
 
3.2%
158
 
3.1%
Other values (63) 2054
40.9%

Most occurring characters

Value Count Frequency (%)
4407
 
13.5%
e 3156
 
9.7%
r 2431
 
7.5%
s 2267
 
7.0%
0 1959
 
6.0%
i 1514
 
4.6%
t 1482
 
4.6%
a 1436
 
4.4%
h 1266
 
3.9%
c 1179
 
3.6%
Other values (35) 11464
35.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 21274
65.3%
Space Separator 4407
 
13.5%
Decimal Number 3533
 
10.9%
Other Punctuation 1343
 
4.1%
Uppercase Letter 860
 
2.6%
Open Punctuation 555
 
1.7%
Close Punctuation 555
 
1.7%
Math Symbol 34
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 3156
14.8%
r 2431
11.4%
s 2267
10.7%
i 1514
 
7.1%
t 1482
 
7.0%
a 1436
 
6.8%
h 1266
 
6.0%
c 1179
 
5.5%
m 1173
 
5.5%
o 956
 
4.5%
Other values (13) 4414
20.7%
Decimal Number
Value Count Frequency (%)
0 1959
55.4%
2 378
 
10.7%
1 316
 
8.9%
4 301
 
8.5%
3 290
 
8.2%
8 148
 
4.2%
5 104
 
2.9%
7 29
 
0.8%
9 8
 
0.2%
Uppercase Letter
Value Count Frequency (%)
K 445
51.7%
Y 172
 
20.0%
W 131
 
15.2%
U 109
 
12.7%
M 3
 
0.3%
Other Punctuation
Value Count Frequency (%)
/ 968
72.1%
, 334
 
24.9%
* 24
 
1.8%
. 17
 
1.3%
Space Separator
Value Count Frequency (%)
4407
100.0%
Open Punctuation
Value Count Frequency (%)
( 555
100.0%
Close Punctuation
Value Count Frequency (%)
) 555
100.0%
Math Symbol
Value Count Frequency (%)
+ 34
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 22134
68.0%
Common 10427
32.0%

Most frequent character per script

Latin
Value Count Frequency (%)
e 3156
14.3%
r 2431
11.0%
s 2267
10.2%
i 1514
 
6.8%
t 1482
 
6.7%
a 1436
 
6.5%
h 1266
 
5.7%
c 1179
 
5.3%
m 1173
 
5.3%
o 956
 
4.3%
Other values (18) 5274
23.8%
Common
Value Count Frequency (%)
4407
42.3%
0 1959
18.8%
/ 968
 
9.3%
( 555
 
5.3%
) 555
 
5.3%
2 378
 
3.6%
, 334
 
3.2%
1 316
 
3.0%
4 301
 
2.9%
3 290
 
2.8%
Other values (7) 364
 
3.5%

Most occurring blocks

Value Count Frequency (%)
ASCII 32561
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
4407
 
13.5%
e 3156
 
9.7%
r 2431
 
7.5%
s 2267
 
7.0%
0 1959
 
6.0%
i 1514
 
4.6%
t 1482
 
4.6%
a 1436
 
4.4%
h 1266
 
3.9%
c 1179
 
3.6%
Other values (35) 11464
35.2%

FM_Radio
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 249
Missing (%) 19.5%
Memory size 2.6 KiB
True
1027 
(Missing)
249 
Value Count Frequency (%)
True 1027
80.5%
(Missing) 249
 
19.5%
2022-05-22T01:10:59.182344 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Fuel-lid_Opener
Categorical

HIGH CORRELATION
MISSING

Distinct 12
Distinct (%) 1.0%
Missing 14
Missing (%) 1.1%
Memory size 10.1 KiB
Internal
924 
Internal, With Remote
 
92
With Remote
 
77
Manual
 
62
With Remote, Internal
 
51
Other values (7)
 
56

Length

Max length 35
Median length 8
Mean length 9.885895404
Min length 6

Characters and Unicode

Total characters 12476
Distinct characters 21
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 2 ?
Unique (%) 0.2%

Sample

1st row Internal
2nd row Internal
3rd row Internal
4th row Internal
5th row Internal

Common Values

Value Count Frequency (%)
Internal 924
72.4%
Internal, With Remote 92
 
7.2%
With Remote 77
 
6.0%
Manual 62
 
4.9%
With Remote, Internal 51
 
4.0%
Push to Open 27
 
2.1%
Internal, Manual 15
 
1.2%
With Remote, Manual 7
 
0.5%
Manual, Internal 3
 
0.2%
With Remote, Push to Open, Internal 2
 
0.2%
Other values (2) 2
 
0.2%
(Missing) 14
 
1.1%

Length

2022-05-22T01:10:59.514763 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
internal 1088
63.0%
with 230
 
13.3%
remote 230
 
13.3%
manual 87
 
5.0%
push 31
 
1.8%
to 31
 
1.8%
open 31
 
1.8%

Most occurring characters

Value Count Frequency (%)
n 2294
18.4%
t 1579
12.7%
e 1579
12.7%
a 1262
10.1%
l 1175
9.4%
I 1088
8.7%
r 1088
8.7%
466
 
3.7%
o 261
 
2.1%
h 261
 
2.1%
Other values (11) 1423
11.4%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 10139
81.3%
Uppercase Letter 1697
 
13.6%
Space Separator 466
 
3.7%
Other Punctuation 174
 
1.4%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
n 2294
22.6%
t 1579
15.6%
e 1579
15.6%
a 1262
12.4%
l 1175
11.6%
r 1088
10.7%
o 261
 
2.6%
h 261
 
2.6%
m 230
 
2.3%
i 230
 
2.3%
Other values (3) 180
 
1.8%
Uppercase Letter
Value Count Frequency (%)
I 1088
64.1%
R 230
 
13.6%
W 230
 
13.6%
M 87
 
5.1%
P 31
 
1.8%
O 31
 
1.8%
Space Separator
Value Count Frequency (%)
466
100.0%
Other Punctuation
Value Count Frequency (%)
, 174
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 11836
94.9%
Common 640
 
5.1%

Most frequent character per script

Latin
Value Count Frequency (%)
n 2294
19.4%
t 1579
13.3%
e 1579
13.3%
a 1262
10.7%
l 1175
9.9%
I 1088
9.2%
r 1088
9.2%
o 261
 
2.2%
h 261
 
2.2%
R 230
 
1.9%
Other values (9) 1019
8.6%
Common
Value Count Frequency (%)
466
72.8%
, 174
 
27.2%

Most occurring blocks

Value Count Frequency (%)
ASCII 12476
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
n 2294
18.4%
t 1579
12.7%
e 1579
12.7%
a 1262
10.1%
l 1175
9.4%
I 1088
8.7%
r 1088
8.7%
466
 
3.7%
o 261
 
2.1%
h 261
 
2.1%
Other values (11) 1423
11.4%

Fuel_Gauge
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 0.4%
Missing 39
Missing (%) 3.1%
Memory size 10.1 KiB
Digital
709 
Analog
443 
Yes
81 
Digital, Analog
 
3
Analog, Digital
 
1

Length

Max length 15
Median length 7
Mean length 6.405820534
Min length 3

Characters and Unicode

Total characters 7924
Distinct characters 14
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Digital
2nd row Digital
3rd row Digital
4th row Digital
5th row Digital

Common Values

Value Count Frequency (%)
Digital 709
55.6%
Analog 443
34.7%
Yes 81
 
6.3%
Digital, Analog 3
 
0.2%
Analog, Digital 1
 
0.1%
(Missing) 39
 
3.1%

Length

2022-05-22T01:10:59.867990 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:00.241850 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
digital 713
57.5%
analog 447
36.0%
yes 81
 
6.5%

Most occurring characters

Value Count Frequency (%)
i 1426
18.0%
g 1160
14.6%
a 1160
14.6%
l 1160
14.6%
D 713
9.0%
t 713
9.0%
A 447
 
5.6%
n 447
 
5.6%
o 447
 
5.6%
Y 81
 
1.0%
Other values (4) 170
 
2.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 6675
84.2%
Uppercase Letter 1241
 
15.7%
Other Punctuation 4
 
0.1%
Space Separator 4
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 1426
21.4%
g 1160
17.4%
a 1160
17.4%
l 1160
17.4%
t 713
10.7%
n 447
 
6.7%
o 447
 
6.7%
e 81
 
1.2%
s 81
 
1.2%
Uppercase Letter
Value Count Frequency (%)
D 713
57.5%
A 447
36.0%
Y 81
 
6.5%
Other Punctuation
Value Count Frequency (%)
, 4
100.0%
Space Separator
Value Count Frequency (%)
4
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7916
99.9%
Common 8
 
0.1%

Most frequent character per script

Latin
Value Count Frequency (%)
i 1426
18.0%
g 1160
14.7%
a 1160
14.7%
l 1160
14.7%
D 713
9.0%
t 713
9.0%
A 447
 
5.6%
n 447
 
5.6%
o 447
 
5.6%
Y 81
 
1.0%
Other values (2) 162
 
2.0%
Common
Value Count Frequency (%)
, 4
50.0%
4
50.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 7924
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
i 1426
18.0%
g 1160
14.6%
a 1160
14.6%
l 1160
14.6%
D 713
9.0%
t 713
9.0%
A 447
 
5.6%
n 447
 
5.6%
o 447
 
5.6%
Y 81
 
1.0%
Other values (4) 170
 
2.1%

Handbrake
Categorical

HIGH CORRELATION
MISSING

Distinct 2
Distinct (%) 0.2%
Missing 57
Missing (%) 4.5%
Memory size 10.1 KiB
Manual
913 
Automatic
306 

Length

Max length 9
Median length 6
Mean length 6.753076292
Min length 6

Characters and Unicode

Total characters 8232
Distinct characters 11
Distinct categories 2 ?
Distinct scripts 1 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Manual
2nd row Manual
3rd row Manual
4th row Manual
5th row Manual

Common Values

Value Count Frequency (%)
Manual 913
71.6%
Automatic 306
 
24.0%
(Missing) 57
 
4.5%

Length

2022-05-22T01:11:00.592908 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:00.941189 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
manual 913
74.9%
automatic 306
 
25.1%

Most occurring characters

Value Count Frequency (%)
a 2132
25.9%
u 1219
14.8%
M 913
11.1%
n 913
11.1%
l 913
11.1%
t 612
 
7.4%
A 306
 
3.7%
o 306
 
3.7%
m 306
 
3.7%
i 306
 
3.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 7013
85.2%
Uppercase Letter 1219
 
14.8%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
a 2132
30.4%
u 1219
17.4%
n 913
13.0%
l 913
13.0%
t 612
 
8.7%
o 306
 
4.4%
m 306
 
4.4%
i 306
 
4.4%
c 306
 
4.4%
Uppercase Letter
Value Count Frequency (%)
M 913
74.9%
A 306
 
25.1%

Most occurring scripts

Value Count Frequency (%)
Latin 8232
100.0%

Most frequent character per script

Latin
Value Count Frequency (%)
a 2132
25.9%
u 1219
14.8%
M 913
11.1%
n 913
11.1%
l 913
11.1%
t 612
 
7.4%
A 306
 
3.7%
o 306
 
3.7%
m 306
 
3.7%
i 306
 
3.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 8232
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
a 2132
25.9%
u 1219
14.8%
M 913
11.1%
n 913
11.1%
l 913
11.1%
t 612
 
7.4%
A 306
 
3.7%
o 306
 
3.7%
m 306
 
3.7%
i 306
 
3.7%

Instrument_Console
Categorical

HIGH CORRELATION
MISSING

Distinct 3
Distinct (%) 0.2%
Missing 14
Missing (%) 1.1%
Memory size 10.1 KiB
Analog + Digital
1018 
Analog
168 
Digital
 
76

Length

Max length 16
Median length 16
Mean length 14.12678288
Min length 6

Characters and Unicode

Total characters 17828
Distinct characters 11
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Analog + Digital
2nd row Analog + Digital
3rd row Analog + Digital
4th row Analog + Digital
5th row Analog + Digital

Common Values

Value Count Frequency (%)
Analog + Digital 1018
79.8%
Analog 168
 
13.2%
Digital 76
 
6.0%
(Missing) 14
 
1.1%

Length

2022-05-22T01:11:01.273221 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:01.627846 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
analog 1186
36.0%
digital 1094
33.2%
1018
30.9%

Most occurring characters

Value Count Frequency (%)
a 2280
12.8%
l 2280
12.8%
g 2280
12.8%
i 2188
12.3%
2036
11.4%
A 1186
6.7%
n 1186
6.7%
o 1186
6.7%
D 1094
6.1%
t 1094
6.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 12494
70.1%
Uppercase Letter 2280
 
12.8%
Space Separator 2036
 
11.4%
Math Symbol 1018
 
5.7%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
a 2280
18.2%
l 2280
18.2%
g 2280
18.2%
i 2188
17.5%
n 1186
9.5%
o 1186
9.5%
t 1094
8.8%
Uppercase Letter
Value Count Frequency (%)
A 1186
52.0%
D 1094
48.0%
Space Separator
Value Count Frequency (%)
2036
100.0%
Math Symbol
Value Count Frequency (%)
+ 1018
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 14774
82.9%
Common 3054
 
17.1%

Most frequent character per script

Latin
Value Count Frequency (%)
a 2280
15.4%
l 2280
15.4%
g 2280
15.4%
i 2188
14.8%
A 1186
8.0%
n 1186
8.0%
o 1186
8.0%
D 1094
7.4%
t 1094
7.4%
Common
Value Count Frequency (%)
2036
66.7%
+ 1018
33.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 17828
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
a 2280
12.8%
l 2280
12.8%
g 2280
12.8%
i 2188
12.3%
2036
11.4%
A 1186
6.7%
n 1186
6.7%
o 1186
6.7%
D 1094
6.1%
t 1094
6.1%

Low_Fuel_Warning
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 36
Missing (%) 2.8%
Memory size 2.6 KiB
True
1240 
(Missing)
 
36
Value Count Frequency (%)
True 1240
97.2%
(Missing) 36
 
2.8%
2022-05-22T01:11:01.958442 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Minimum_Turning_Radius
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct 61
Distinct (%) 6.8%
Missing 381
Missing (%) 29.9%
Memory size 10.1 KiB
5.2 meter
102 
5.3 meter
90 
5.1 meter
74 
4.7 meter
72 
5.4 meter
63 
Other values (56)
494 

Length

Max length 11
Median length 9
Mean length 9.135195531
Min length 7

Characters and Unicode

Total characters 8176
Distinct characters 16
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 9 ?
Unique (%) 1.0%

Sample

1st row 4 meter
2nd row 4 meter
3rd row 4 meter
4th row 4 meter
5th row 4 meter

Common Values

Value Count Frequency (%)
5.2 meter 102
 
8.0%
5.3 meter 90
 
7.1%
5.1 meter 74
 
5.8%
4.7 meter 72
 
5.6%
5.4 meter 63
 
4.9%
4.8 meter 57
 
4.5%
5.6 meter 49
 
3.8%
4.9 meter 32
 
2.5%
5.5 meter 31
 
2.4%
4.6 meter 26
 
2.0%
Other values (51) 299
23.4%
(Missing) 381
29.9%

Length

2022-05-22T01:11:02.310085 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
meter 895
50.0%
5.2 102
 
5.7%
5.3 90
 
5.0%
5.1 74
 
4.1%
4.7 72
 
4.0%
5.4 63
 
3.5%
4.8 57
 
3.2%
5.6 49
 
2.7%
4.9 32
 
1.8%
5.5 31
 
1.7%
Other values (52) 325
 
18.2%

Most occurring characters

Value Count Frequency (%)
e 1790
21.9%
895
10.9%
m 895
10.9%
t 895
10.9%
r 895
10.9%
. 861
10.5%
5 727
8.9%
4 307
 
3.8%
1 203
 
2.5%
6 146
 
1.8%
Other values (6) 562
 
6.9%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 4475
54.7%
Decimal Number 1945
23.8%
Space Separator 895
 
10.9%
Other Punctuation 861
 
10.5%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
5 727
37.4%
4 307
15.8%
1 203
 
10.4%
6 146
 
7.5%
2 138
 
7.1%
3 123
 
6.3%
7 116
 
6.0%
8 102
 
5.2%
9 70
 
3.6%
0 13
 
0.7%
Lowercase Letter
Value Count Frequency (%)
e 1790
40.0%
m 895
20.0%
t 895
20.0%
r 895
20.0%
Space Separator
Value Count Frequency (%)
895
100.0%
Other Punctuation
Value Count Frequency (%)
. 861
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 4475
54.7%
Common 3701
45.3%

Most frequent character per script

Common
Value Count Frequency (%)
895
24.2%
. 861
23.3%
5 727
19.6%
4 307
 
8.3%
1 203
 
5.5%
6 146
 
3.9%
2 138
 
3.7%
3 123
 
3.3%
7 116
 
3.1%
8 102
 
2.8%
Other values (2) 83
 
2.2%
Latin
Value Count Frequency (%)
e 1790
40.0%
m 895
20.0%
t 895
20.0%
r 895
20.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8176
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 1790
21.9%
895
10.9%
m 895
10.9%
t 895
10.9%
r 895
10.9%
. 861
10.5%
5 727
8.9%
4 307
 
3.8%
1 203
 
2.5%
6 146
 
1.8%
Other values (6) 562
 
6.9%

Multifunction_Display
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 89
Missing (%) 7.0%
Memory size 2.6 KiB
True
1187 
(Missing)
 
89
Value Count Frequency (%)
True 1187
93.0%
(Missing) 89
 
7.0%
2022-05-22T01:11:02.669993 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Sun_Visor
Categorical

HIGH CORRELATION
MISSING

Distinct 3
Distinct (%) 0.2%
Missing 62
Missing (%) 4.9%
Memory size 10.1 KiB
Driver & Front Passenger
1172 
Driver Only
 
27
Co-Driver Only
 
15

Length

Max length 24
Median length 24
Mean length 23.58731466
Min length 11

Characters and Unicode

Total characters 28635
Distinct characters 20
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Driver & Front Passenger
2nd row Driver & Front Passenger
3rd row Driver & Front Passenger
4th row Driver & Front Passenger
5th row Driver & Front Passenger

Common Values

Value Count Frequency (%)
Driver & Front Passenger 1172
91.8%
Driver Only 27
 
2.1%
Co-Driver Only 15
 
1.2%
(Missing) 62
 
4.9%

Length

2022-05-22T01:11:03.007087 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:03.364746 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
driver 1199
25.1%
1172
24.6%
front 1172
24.6%
passenger 1172
24.6%
only 42
 
0.9%
co-driver 15
 
0.3%

Most occurring characters

Value Count Frequency (%)
r 4772
16.7%
e 3558
12.4%
3558
12.4%
n 2386
 
8.3%
s 2344
 
8.2%
D 1214
 
4.2%
i 1214
 
4.2%
v 1214
 
4.2%
o 1187
 
4.1%
a 1172
 
4.1%
Other values (10) 6016
21.0%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 20275
70.8%
Uppercase Letter 3615
 
12.6%
Space Separator 3558
 
12.4%
Other Punctuation 1172
 
4.1%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 4772
23.5%
e 3558
17.5%
n 2386
11.8%
s 2344
11.6%
i 1214
 
6.0%
v 1214
 
6.0%
o 1187
 
5.9%
a 1172
 
5.8%
g 1172
 
5.8%
t 1172
 
5.8%
Other values (2) 84
 
0.4%
Uppercase Letter
Value Count Frequency (%)
D 1214
33.6%
P 1172
32.4%
F 1172
32.4%
O 42
 
1.2%
C 15
 
0.4%
Space Separator
Value Count Frequency (%)
3558
100.0%
Other Punctuation
Value Count Frequency (%)
& 1172
100.0%
Dash Punctuation
Value Count Frequency (%)
- 15
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 23890
83.4%
Common 4745
 
16.6%

Most frequent character per script

Latin
Value Count Frequency (%)
r 4772
20.0%
e 3558
14.9%
n 2386
10.0%
s 2344
9.8%
D 1214
 
5.1%
i 1214
 
5.1%
v 1214
 
5.1%
o 1187
 
5.0%
a 1172
 
4.9%
g 1172
 
4.9%
Other values (7) 3657
15.3%
Common
Value Count Frequency (%)
3558
75.0%
& 1172
 
24.7%
- 15
 
0.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 28635
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 4772
16.7%
e 3558
12.4%
3558
12.4%
n 2386
 
8.3%
s 2344
 
8.2%
D 1214
 
4.2%
i 1214
 
4.2%
v 1214
 
4.2%
o 1187
 
4.1%
a 1172
 
4.1%
Other values (10) 6016
21.0%

Third_Row_AC_Vents
Categorical

HIGH CORRELATION
MISSING

Distinct 2
Distinct (%) 0.2%
Missing 366
Missing (%) 28.7%
Memory size 10.1 KiB
Not Applicable
787 
Yes
123 

Length

Max length 14
Median length 14
Mean length 12.51318681
Min length 3

Characters and Unicode

Total characters 11387
Distinct characters 14
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Not Applicable
2nd row Not Applicable
3rd row Not Applicable
4th row Not Applicable
5th row Not Applicable

Common Values

Value Count Frequency (%)
Not Applicable 787
61.7%
Yes 123
 
9.6%
(Missing) 366
28.7%

Length

2022-05-22T01:11:03.711864 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:04.061095 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
not 787
46.4%
applicable 787
46.4%
yes 123
 
7.2%

Most occurring characters

Value Count Frequency (%)
p 1574
13.8%
l 1574
13.8%
e 910
8.0%
N 787
6.9%
o 787
6.9%
t 787
6.9%
787
6.9%
A 787
6.9%
i 787
6.9%
c 787
6.9%
Other values (4) 1820
16.0%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 8903
78.2%
Uppercase Letter 1697
 
14.9%
Space Separator 787
 
6.9%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
p 1574
17.7%
l 1574
17.7%
e 910
10.2%
o 787
8.8%
t 787
8.8%
i 787
8.8%
c 787
8.8%
a 787
8.8%
b 787
8.8%
s 123
 
1.4%
Uppercase Letter
Value Count Frequency (%)
N 787
46.4%
A 787
46.4%
Y 123
 
7.2%
Space Separator
Value Count Frequency (%)
787
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 10600
93.1%
Common 787
 
6.9%

Most frequent character per script

Latin
Value Count Frequency (%)
p 1574
14.8%
l 1574
14.8%
e 910
8.6%
N 787
7.4%
o 787
7.4%
t 787
7.4%
A 787
7.4%
i 787
7.4%
c 787
7.4%
a 787
7.4%
Other values (3) 1033
9.7%
Common
Value Count Frequency (%)
787
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 11387
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
p 1574
13.8%
l 1574
13.8%
e 910
8.0%
N 787
6.9%
o 787
6.9%
t 787
6.9%
787
6.9%
A 787
6.9%
i 787
6.9%
c 787
6.9%
Other values (4) 1820
16.0%

Ventilation_System
Categorical

HIGH CORRELATION
MISSING

Distinct 15
Distinct (%) 1.2%
Missing 35
Missing (%) 2.7%
Memory size 10.1 KiB
Fully automatic climate control
487 
Manual Air conditioning with cooling and heating
447 
2 Zone Climate Control
148 
4 Zone climate control
59 
3 Zone climate control
 
35
Other values (10)
65 

Length

Max length 81
Median length 56
Mean length 35.75503626
Min length 3

Characters and Unicode

Total characters 44372
Distinct characters 29
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Manual Air conditioning with cooling and heating
2nd row Air Conditioning with cooling only
3rd row Manual Air conditioning with cooling and heating
4th row Air Conditioning with cooling only
5th row Air Conditioning with cooling only

Common Values

Value Count Frequency (%)
Fully automatic climate control 487
38.2%
Manual Air conditioning with cooling and heating 447
35.0%
2 Zone Climate Control 148
 
11.6%
4 Zone climate control 59
 
4.6%
3 Zone climate control 35
 
2.7%
Air Conditioning with cooling only 22
 
1.7%
Fully automatic climate control, 2 Zone Climate Control 10
 
0.8%
Yes 8
 
0.6%
Heater, Manual Air conditioning with cooling and heating 6
 
0.5%
Fully automatic climate control, 4 Zone climate control 6
 
0.5%
Other values (5) 13
 
1.0%
(Missing) 35
 
2.7%

Length

2022-05-22T01:11:04.411028 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
climate 773
12.1%
control 773
12.1%
fully 512
8.0%
automatic 512
8.0%
air 477
7.4%
conditioning 477
7.4%
with 477
7.4%
cooling 477
7.4%
heating 455
7.1%
and 455
7.1%
Other values (8) 1021
15.9%

Most occurring characters

Value Count Frequency (%)
5168
11.6%
i 4602
10.4%
n 4329
9.8%
o 4249
9.6%
t 3993
9.0%
a 3631
 
8.2%
l 3524
 
7.9%
c 2672
 
6.0%
e 1525
 
3.4%
u 1479
 
3.3%
Other values (19) 9200
20.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 36845
83.0%
Space Separator 5168
 
11.6%
Uppercase Letter 2067
 
4.7%
Decimal Number 261
 
0.6%
Other Punctuation 31
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
i 4602
12.5%
n 4329
11.7%
o 4249
11.5%
t 3993
10.8%
a 3631
9.9%
l 3524
9.6%
c 2672
7.3%
e 1525
 
4.1%
u 1479
 
4.0%
g 1409
 
3.8%
Other values (7) 5432
14.7%
Uppercase Letter
Value Count Frequency (%)
F 512
24.8%
A 477
23.1%
M 455
22.0%
C 340
16.4%
Z 261
12.6%
H 14
 
0.7%
Y 8
 
0.4%
Decimal Number
Value Count Frequency (%)
2 159
60.9%
4 65
24.9%
3 37
 
14.2%
Space Separator
Value Count Frequency (%)
5168
100.0%
Other Punctuation
Value Count Frequency (%)
, 31
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 38912
87.7%
Common 5460
 
12.3%

Most frequent character per script

Latin
Value Count Frequency (%)
i 4602
11.8%
n 4329
11.1%
o 4249
10.9%
t 3993
10.3%
a 3631
9.3%
l 3524
9.1%
c 2672
 
6.9%
e 1525
 
3.9%
u 1479
 
3.8%
g 1409
 
3.6%
Other values (14) 7499
19.3%
Common
Value Count Frequency (%)
5168
94.7%
2 159
 
2.9%
4 65
 
1.2%
3 37
 
0.7%
, 31
 
0.6%

Most occurring blocks

Value Count Frequency (%)
ASCII 44372
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
5168
11.6%
i 4602
10.4%
n 4329
9.8%
o 4249
9.6%
t 3993
9.0%
a 3631
 
8.2%
l 3524
 
7.9%
c 2672
 
6.0%
e 1525
 
3.4%
u 1479
 
3.3%
Other values (19) 9200
20.7%

Auto-Dimming_Rear-View_Mirror
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 620
Missing (%) 48.6%
Memory size 2.6 KiB
True
656 
(Missing)
620 
Value Count Frequency (%)
True 656
51.4%
(Missing) 620
48.6%
2022-05-22T01:11:04.786547 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Hill_Assist
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 796
Missing (%) 62.4%
Memory size 2.6 KiB
True
480 
(Missing)
796 
Value Count Frequency (%)
True 480
37.6%
(Missing) 796
62.4%
2022-05-22T01:11:05.099218 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Gear_Indicator
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 499
Missing (%) 39.1%
Memory size 2.6 KiB
True
777 
(Missing)
499 
Value Count Frequency (%)
True 777
60.9%
(Missing) 499
39.1%
2022-05-22T01:11:05.417187 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

3_Point_Seat-Belt_in_Middle_Rear_Seat
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 2.0%
Missing 1225
Missing (%) 96.0%
Memory size 2.6 KiB
True
 
51
(Missing)
1225 
Value Count Frequency (%)
True 51
 
4.0%
(Missing) 1225
96.0%
2022-05-22T01:11:06.442006 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Ambient_Lightning
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 1.8%
Missing 1220
Missing (%) 95.6%
Memory size 2.6 KiB
True
 
56
(Missing)
1220 
Value Count Frequency (%)
True 56
 
4.4%
(Missing) 1220
95.6%
2022-05-22T01:11:06.757366 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Cargo/Boot_Lights
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.8%
Missing 1155
Missing (%) 90.5%
Memory size 2.6 KiB
True
121 
(Missing)
1155 
Value Count Frequency (%)
True 121
 
9.5%
(Missing) 1155
90.5%
2022-05-22T01:11:07.075127 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Drive_Modes
Categorical

HIGH CORRELATION
MISSING

Distinct 16
Distinct (%) 8.2%
Missing 1081
Missing (%) 84.7%
Memory size 10.1 KiB
Normal
92 
Normal, Comfort, Eco, Sport
34 
Sport
18 
Normal, Eco
11 
Normal, Eco, Sport
 
9
Other values (11)
31 

Length

Max length 39
Median length 27
Mean length 12.7025641
Min length 3

Characters and Unicode

Total characters 2477
Distinct characters 20
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 4 ?
Unique (%) 2.1%

Sample

1st row Normal
2nd row Normal
3rd row Normal
4th row Normal
5th row Normal, Eco, Sport

Common Values

Value Count Frequency (%)
Normal 92
 
7.2%
Normal, Comfort, Eco, Sport 34
 
2.7%
Sport 18
 
1.4%
Normal, Eco 11
 
0.9%
Normal, Eco, Sport 9
 
0.7%
Normal, Comfort, Sport 6
 
0.5%
Normal, Sport 6
 
0.5%
Comfort, Eco, Sport 4
 
0.3%
Comfort, Eco, Sport, Normal 4
 
0.3%
Eco, Sport, Normal, Comfort 3
 
0.2%
Other values (6) 8
 
0.6%
(Missing) 1081
84.7%

Length

2022-05-22T01:11:07.410177 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
normal 170
43.5%
sport 91
23.3%
eco 72
18.4%
comfort 54
 
13.8%
power 2
 
0.5%
mode 2
 
0.5%

Most occurring characters

Value Count Frequency (%)
o 445
18.0%
r 317
12.8%
m 224
9.0%
196
7.9%
, 194
7.8%
N 170
 
6.9%
a 170
 
6.9%
l 170
 
6.9%
t 145
 
5.9%
S 91
 
3.7%
Other values (10) 355
14.3%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 1696
68.5%
Uppercase Letter 391
 
15.8%
Space Separator 196
 
7.9%
Other Punctuation 194
 
7.8%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
o 445
26.2%
r 317
18.7%
m 224
13.2%
a 170
 
10.0%
l 170
 
10.0%
t 145
 
8.5%
p 91
 
5.4%
c 72
 
4.2%
f 54
 
3.2%
e 4
 
0.2%
Other values (2) 4
 
0.2%
Uppercase Letter
Value Count Frequency (%)
N 170
43.5%
S 91
23.3%
E 72
18.4%
C 54
 
13.8%
P 2
 
0.5%
M 2
 
0.5%
Space Separator
Value Count Frequency (%)
196
100.0%
Other Punctuation
Value Count Frequency (%)
, 194
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 2087
84.3%
Common 390
 
15.7%

Most frequent character per script

Latin
Value Count Frequency (%)
o 445
21.3%
r 317
15.2%
m 224
10.7%
N 170
 
8.1%
a 170
 
8.1%
l 170
 
8.1%
t 145
 
6.9%
S 91
 
4.4%
p 91
 
4.4%
E 72
 
3.4%
Other values (8) 192
9.2%
Common
Value Count Frequency (%)
196
50.3%
, 194
49.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 2477
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
o 445
18.0%
r 317
12.8%
m 224
9.0%
196
7.9%
, 194
7.8%
N 170
 
6.9%
a 170
 
6.9%
l 170
 
6.9%
t 145
 
5.9%
S 91
 
3.7%
Other values (10) 355
14.3%

Engine_Immobilizer
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 60
Missing (%) 4.7%
Memory size 2.6 KiB
True
1216 
(Missing)
 
60
Value Count Frequency (%)
True 1216
95.3%
(Missing) 60
 
4.7%
2022-05-22T01:11:07.763056 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

High_Speed_Alert_System
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.5%
Missing 1068
Missing (%) 83.7%
Memory size 2.6 KiB
True
208 
(Missing)
1068 
Value Count Frequency (%)
True 208
 
16.3%
(Missing) 1068
83.7%
2022-05-22T01:11:08.095024 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Lane_Watch_Camera/_Side_Mirror_Camera
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 1.5%
Missing 1210
Missing (%) 94.8%
Memory size 2.6 KiB
True
 
66
(Missing)
1210 
Value Count Frequency (%)
True 66
 
5.2%
(Missing) 1210
94.8%
2022-05-22T01:11:08.422097 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Passenger_Side_Seat-Belt_Reminder
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.6%
Missing 1105
Missing (%) 86.6%
Memory size 2.6 KiB
True
171 
(Missing)
1105 
Value Count Frequency (%)
True 171
 
13.4%
(Missing) 1105
86.6%
2022-05-22T01:11:08.752943 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Seat_Back_Pockets
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 443
Missing (%) 34.7%
Memory size 2.6 KiB
True
833 
(Missing)
443 
Value Count Frequency (%)
True 833
65.3%
(Missing) 443
34.7%
2022-05-22T01:11:09.083779 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Voice_Recognition
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.8%
Missing 1144
Missing (%) 89.7%
Memory size 2.6 KiB
True
132 
(Missing)
1144 
Value Count Frequency (%)
True 132
 
10.3%
(Missing) 1144
89.7%
2022-05-22T01:11:09.400730 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Walk_Away_Auto_Car_Lock
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 1.0%
Missing 1173
Missing (%) 91.9%
Memory size 2.6 KiB
True
 
103
(Missing)
1173 
Value Count Frequency (%)
True 103
 
8.1%
(Missing) 1173
91.9%
2022-05-22T01:11:09.717452 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

ABS_(Anti-lock_Braking_System)
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 132
Missing (%) 10.3%
Memory size 2.6 KiB
True
1144 
(Missing)
132 
Value Count Frequency (%)
True 1144
89.7%
(Missing) 132
 
10.3%
2022-05-22T01:11:10.032155 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Headlight_Reminder
Categorical

HIGH CORRELATION
MISSING

Distinct 2
Distinct (%) 0.2%
Missing 258
Missing (%) 20.2%
Memory size 10.1 KiB
Yes
1014 
Automatic
 
4

Length

Max length 9
Median length 3
Mean length 3.023575639
Min length 3

Characters and Unicode

Total characters 3078
Distinct characters 11
Distinct categories 2 ?
Distinct scripts 1 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Yes
2nd row Yes
3rd row Yes
4th row Yes
5th row Yes

Common Values

Value Count Frequency (%)
Yes 1014
79.5%
Automatic 4
 
0.3%
(Missing) 258
 
20.2%

Length

2022-05-22T01:11:10.354485 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:10.699014 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
yes 1014
99.6%
automatic 4
 
0.4%

Most occurring characters

Value Count Frequency (%)
Y 1014
32.9%
e 1014
32.9%
s 1014
32.9%
t 8
 
0.3%
A 4
 
0.1%
u 4
 
0.1%
o 4
 
0.1%
m 4
 
0.1%
a 4
 
0.1%
i 4
 
0.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 2060
66.9%
Uppercase Letter 1018
33.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 1014
49.2%
s 1014
49.2%
t 8
 
0.4%
u 4
 
0.2%
o 4
 
0.2%
m 4
 
0.2%
a 4
 
0.2%
i 4
 
0.2%
c 4
 
0.2%
Uppercase Letter
Value Count Frequency (%)
Y 1014
99.6%
A 4
 
0.4%

Most occurring scripts

Value Count Frequency (%)
Latin 3078
100.0%

Most frequent character per script

Latin
Value Count Frequency (%)
Y 1014
32.9%
e 1014
32.9%
s 1014
32.9%
t 8
 
0.3%
A 4
 
0.1%
u 4
 
0.1%
o 4
 
0.1%
m 4
 
0.1%
a 4
 
0.1%
i 4
 
0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 3078
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
Y 1014
32.9%
e 1014
32.9%
s 1014
32.9%
t 8
 
0.3%
A 4
 
0.1%
u 4
 
0.1%
o 4
 
0.1%
m 4
 
0.1%
a 4
 
0.1%
i 4
 
0.1%

Adjustable_Headrests
Categorical

HIGH CORRELATION
MISSING

Distinct 6
Distinct (%) 0.6%
Missing 250
Missing (%) 19.6%
Memory size 10.1 KiB
All Rows
701 
Front Row
198 
Yes
84 
Second Row
 
36
Front Row, Second Row
 
6

Length

Max length 21
Median length 8
Mean length 7.942495127
Min length 3

Characters and Unicode

Total characters 8149
Distinct characters 17
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 0.1%

Sample

1st row Front Row
2nd row Front Row
3rd row Front Row
4th row Front Row
5th row Front Row

Common Values

Value Count Frequency (%)
All Rows 701
54.9%
Front Row 198
 
15.5%
Yes 84
 
6.6%
Second Row 36
 
2.8%
Front Row, Second Row 6
 
0.5%
Second Row, Front Row 1
 
0.1%
(Missing) 250
 
19.6%

Length

2022-05-22T01:11:11.040853 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:11.412256 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
all 701
35.4%
rows 701
35.4%
row 248
 
12.5%
front 205
 
10.3%
yes 84
 
4.2%
second 43
 
2.2%

Most occurring characters

Value Count Frequency (%)
l 1402
17.2%
o 1197
14.7%
956
11.7%
R 949
11.6%
w 949
11.6%
s 785
9.6%
A 701
8.6%
n 248
 
3.0%
t 205
 
2.5%
r 205
 
2.5%
Other values (7) 552
 
6.8%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 5204
63.9%
Uppercase Letter 1982
 
24.3%
Space Separator 956
 
11.7%
Other Punctuation 7
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
l 1402
26.9%
o 1197
23.0%
w 949
18.2%
s 785
15.1%
n 248
 
4.8%
t 205
 
3.9%
r 205
 
3.9%
e 127
 
2.4%
c 43
 
0.8%
d 43
 
0.8%
Uppercase Letter
Value Count Frequency (%)
R 949
47.9%
A 701
35.4%
F 205
 
10.3%
Y 84
 
4.2%
S 43
 
2.2%
Space Separator
Value Count Frequency (%)
956
100.0%
Other Punctuation
Value Count Frequency (%)
, 7
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7186
88.2%
Common 963
 
11.8%

Most frequent character per script

Latin
Value Count Frequency (%)
l 1402
19.5%
o 1197
16.7%
R 949
13.2%
w 949
13.2%
s 785
10.9%
A 701
9.8%
n 248
 
3.5%
t 205
 
2.9%
r 205
 
2.9%
F 205
 
2.9%
Other values (5) 340
 
4.7%
Common
Value Count Frequency (%)
956
99.3%
, 7
 
0.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 8149
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
l 1402
17.2%
o 1197
14.7%
956
11.7%
R 949
11.6%
w 949
11.6%
s 785
9.6%
A 701
8.6%
n 248
 
3.0%
t 205
 
2.5%
r 205
 
2.5%
Other values (7) 552
 
6.8%

Gross_Vehicle_Weight
Categorical

HIGH CARDINALITY
MISSING

Distinct 172
Distinct (%) 25.3%
Missing 595
Missing (%) 46.6%
Memory size 10.1 KiB
2510 kg
 
30
1170 kg
 
26
1075 kg
 
20
1250 kg
 
19
1530 kg
 
19
Other values (167)
567 

Length

Max length 10
Median length 7
Mean length 7.013215859
Min length 5

Characters and Unicode

Total characters 4776
Distinct characters 16
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 56 ?
Unique (%) 8.2%

Sample

1st row 1510 kg
2nd row 1540 kg
3rd row 1510 kg
4th row 1510 kg
5th row 1510 kg

Common Values

Value Count Frequency (%)
2510 kg 30
 
2.4%
1170 kg 26
 
2.0%
1075 kg 20
 
1.6%
1250 kg 19
 
1.5%
1530 kg 19
 
1.5%
1680 kg 18
 
1.4%
1580 kg 17
 
1.3%
1475 kg 15
 
1.2%
1315 kg 14
 
1.1%
1405 kg 14
 
1.1%
Other values (162) 489
38.3%
(Missing) 595
46.6%

Length

2022-05-22T01:11:11.781291 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
kg 684
50.1%
2510 30
 
2.2%
1170 26
 
1.9%
1075 20
 
1.5%
1250 19
 
1.4%
1530 19
 
1.4%
1680 18
 
1.3%
1580 17
 
1.2%
1475 15
 
1.1%
1315 14
 
1.0%
Other values (162) 503
36.8%

Most occurring characters

Value Count Frequency (%)
k 685
14.3%
g 685
14.3%
684
14.3%
1 597
12.5%
0 580
12.1%
5 404
8.5%
2 376
7.9%
7 161
 
3.4%
3 158
 
3.3%
6 125
 
2.6%
Other values (6) 321
6.7%

Most occurring categories

Value Count Frequency (%)
Decimal Number 2719
56.9%
Lowercase Letter 1370
28.7%
Space Separator 685
 
14.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 597
22.0%
0 580
21.3%
5 404
14.9%
2 376
13.8%
7 161
 
5.9%
3 158
 
5.8%
6 125
 
4.6%
4 125
 
4.6%
8 112
 
4.1%
9 81
 
3.0%
Lowercase Letter
Value Count Frequency (%)
k 685
50.0%
g 685
50.0%
Space Separator
Value Count Frequency (%)
684
99.9%
1
 
0.1%
Uppercase Letter
Value Count Frequency (%)
N 1
50.0%
A 1
50.0%

Most occurring scripts

Value Count Frequency (%)
Common 3404
71.3%
Latin 1372
28.7%

Most frequent character per script

Common
Value Count Frequency (%)
684
20.1%
1 597
17.5%
0 580
17.0%
5 404
11.9%
2 376
11.0%
7 161
 
4.7%
3 158
 
4.6%
6 125
 
3.7%
4 125
 
3.7%
8 112
 
3.3%
Other values (2) 82
 
2.4%
Latin
Value Count Frequency (%)
k 685
49.9%
g 685
49.9%
N 1
 
0.1%
A 1
 
0.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 4775
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
Value Count Frequency (%)
k 685
14.3%
g 685
14.3%
684
14.3%
1 597
12.5%
0 580
12.1%
5 404
8.5%
2 376
7.9%
7 161
 
3.4%
3 158
 
3.3%
6 125
 
2.6%
Other values (5) 320
6.7%
Punctuation
Value Count Frequency (%)
1
100.0%

Airbags
Categorical

HIGH CARDINALITY
MISSING

Distinct 207
Distinct (%) 18.1%
Missing 132
Missing (%) 10.3%
Memory size 10.1 KiB
Driver frontal airbag, Front passenger frontal airbag
578 
Driver frontal airbag
61 
Front passenger frontal airbag, Driver frontal airbag
 
39
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbag
 
36
Drive side airbag, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag
 
20
Other values (202)
410 

Length

Max length 263
Median length 53
Mean length 85.03234266
Min length 3

Characters and Unicode

Total characters 97277
Distinct characters 26
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 127 ?
Unique (%) 11.1%

Sample

1st row Driver frontal airbag
2nd row Driver frontal airbag
3rd row Driver frontal airbag
4th row Driver frontal airbag
5th row Driver frontal airbag

Common Values

Value Count Frequency (%)
Driver frontal airbag, Front passenger frontal airbag 578
45.3%
Driver frontal airbag 61
 
4.8%
Front passenger frontal airbag, Driver frontal airbag 39
 
3.1%
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbag 36
 
2.8%
Drive side airbag, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag 20
 
1.6%
Driver frontal airbag, Front passenger frontal airbag, Driver knee airbag 15
 
1.2%
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Rear passenger side airbags 14
 
1.1%
Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Rear passenger side airbags, Curtain airbags 12
 
0.9%
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag 10
 
0.8%
Driver head airbag, Front passenger head airbag, Drive side airbag, Front passenger pelvic airbag, Driver pelvic airbag, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag 9
 
0.7%
Other values (197) 350
27.4%
(Missing) 132
 
10.3%

Length

2022-05-22T01:11:12.193790 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
airbag 3378
25.8%
frontal 2198
16.8%
passenger 1835
14.0%
front 1622
12.4%
driver 1411
10.8%
side 846
 
6.4%
airbags 468
 
3.6%
curtain 428
 
3.3%
drive 341
 
2.6%
rear 213
 
1.6%
Other values (5) 377
 
2.9%

Most occurring characters

Value Count Frequency (%)
r 13309
13.7%
a 12556
12.9%
11973
12.3%
e 6978
 
7.2%
i 6936
 
7.1%
n 6203
 
6.4%
g 5681
 
5.8%
s 4987
 
5.1%
t 4252
 
4.4%
b 3846
 
4.0%
Other values (16) 20556
21.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 78750
81.0%
Space Separator 11973
 
12.3%
Uppercase Letter 3849
 
4.0%
Other Punctuation 2705
 
2.8%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 13309
16.9%
a 12556
15.9%
e 6978
8.9%
i 6936
8.8%
n 6203
7.9%
g 5681
7.2%
s 4987
 
6.3%
t 4252
 
5.4%
b 3846
 
4.9%
o 3820
 
4.9%
Other values (9) 10182
12.9%
Uppercase Letter
Value Count Frequency (%)
D 1752
45.5%
F 1622
42.1%
C 259
 
6.7%
R 213
 
5.5%
Y 3
 
0.1%
Space Separator
Value Count Frequency (%)
11973
100.0%
Other Punctuation
Value Count Frequency (%)
, 2705
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 82599
84.9%
Common 14678
 
15.1%

Most frequent character per script

Latin
Value Count Frequency (%)
r 13309
16.1%
a 12556
15.2%
e 6978
8.4%
i 6936
8.4%
n 6203
7.5%
g 5681
6.9%
s 4987
 
6.0%
t 4252
 
5.1%
b 3846
 
4.7%
o 3820
 
4.6%
Other values (14) 14031
17.0%
Common
Value Count Frequency (%)
11973
81.6%
, 2705
 
18.4%

Most occurring blocks

Value Count Frequency (%)
ASCII 97277
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 13309
13.7%
a 12556
12.9%
11973
12.3%
e 6978
 
7.2%
i 6936
 
7.1%
n 6203
 
6.4%
g 5681
 
5.8%
s 4987
 
5.1%
t 4252
 
4.4%
b 3846
 
4.0%
Other values (16) 20556
21.1%

Door_Ajar_Warning
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 143
Missing (%) 11.2%
Memory size 2.6 KiB
True
1133 
(Missing)
143 
Value Count Frequency (%)
True 1133
88.8%
(Missing) 143
 
11.2%
2022-05-22T01:11:12.562235 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

EBD_(Electronic_Brake-force_Distribution)
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 201
Missing (%) 15.8%
Memory size 2.6 KiB
True
1075 
(Missing)
201 
Value Count Frequency (%)
True 1075
84.2%
(Missing) 201
 
15.8%
2022-05-22T01:11:12.871323 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Fasten_Seat_Belt_Warning
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 190
Missing (%) 14.9%
Memory size 2.6 KiB
True
1086 
(Missing)
190 
Value Count Frequency (%)
True 1086
85.1%
(Missing) 190
 
14.9%
2022-05-22T01:11:13.185066 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Gear_Shift_Reminder
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 543
Missing (%) 42.6%
Memory size 2.6 KiB
True
733 
(Missing)
543 
Value Count Frequency (%)
True 733
57.4%
(Missing) 543
42.6%
2022-05-22T01:11:13.504531 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Number_of_Airbags
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct 11
Distinct (%) 1.0%
Missing 135
Missing (%) 10.6%
Infinite 0
Infinite (%) 0.0%
Mean 3.787028922
Minimum 1
Maximum 14
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 10.1 KiB
2022-05-22T01:11:13.801089 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum 1
5-th percentile 2
Q1 2
median 2
Q3 6
95-th percentile 8
Maximum 14
Range 13
Interquartile range (IQR) 4

Descriptive statistics

Standard deviation 2.522399308
Coefficient of variation (CV) 0.6660628583
Kurtosis -0.3376203537
Mean 3.787028922
Median Absolute Deviation (MAD) 0
Skewness 0.8987434651
Sum 4321
Variance 6.36249827
Monotonicity Not monotonic
2022-05-22T01:11:14.151515 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
Value Count Frequency (%)
2 627
49.1%
6 202
 
15.8%
8 92
 
7.2%
7 65
 
5.1%
1 57
 
4.5%
4 40
 
3.1%
9 21
 
1.6%
3 17
 
1.3%
10 16
 
1.3%
14 3
 
0.2%
(Missing) 135
 
10.6%
Value Count Frequency (%)
1 57
 
4.5%
2 627
49.1%
3 17
 
1.3%
4 40
 
3.1%
5 1
 
0.1%
6 202
 
15.8%
7 65
 
5.1%
8 92
 
7.2%
9 21
 
1.6%
10 16
 
1.3%
Value Count Frequency (%)
14 3
 
0.2%
10 16
 
1.3%
9 21
 
1.6%
8 92
 
7.2%
7 65
 
5.1%
6 202
 
15.8%
5 1
 
0.1%
4 40
 
3.1%
3 17
 
1.3%
2 627
49.1%

Compression_Ratio
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct 66
Distinct (%) 18.4%
Missing 917
Missing (%) 71.9%
Memory size 10.1 KiB
16.5:1
43 
11.0:1
33 
10.5:1
27 
16.7:1
 
21
17.6:1
 
20
Other values (61)
215 

Length

Max length 10
Median length 6
Mean length 5.537604457
Min length 1

Characters and Unicode

Total characters 1988
Distinct characters 16
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 15 ?
Unique (%) 4.2%

Sample

1st row 9.9
2nd row 9.9
3rd row 9.9
4th row 9.9
5th row 9.9

Common Values

Value Count Frequency (%)
16.5:1 43
 
3.4%
11.0:1 33
 
2.6%
10.5:1 27
 
2.1%
16.7:1 21
 
1.6%
17.6:1 20
 
1.6%
16:1 16
 
1.3%
11:1 11
 
0.9%
10.4:1 10
 
0.8%
17.2:1 9
 
0.7%
17:01 8
 
0.6%
Other values (56) 161
 
12.6%
(Missing) 917
71.9%

Length

2022-05-22T01:11:14.506163 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
16.5:1 43
 
12.0%
11.0:1 33
 
9.2%
10.5:1 27
 
7.5%
16.7:1 21
 
5.8%
17.6:1 20
 
5.6%
16:1 16
 
4.5%
11:1 11
 
3.1%
10.4:1 10
 
2.8%
17.2:1 9
 
2.5%
17:01 8
 
2.2%
Other values (56) 161
44.8%

Most occurring characters

Value Count Frequency (%)
1 699
35.2%
. 319
16.0%
: 310
15.6%
5 142
 
7.1%
0 139
 
7.0%
6 124
 
6.2%
7 101
 
5.1%
9 38
 
1.9%
2 31
 
1.6%
8 25
 
1.3%
Other values (6) 60
 
3.0%

Most occurring categories

Value Count Frequency (%)
Decimal Number 1337
67.3%
Other Punctuation 635
31.9%
Math Symbol 6
 
0.3%
Dash Punctuation 6
 
0.3%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
1 699
52.3%
5 142
 
10.6%
0 139
 
10.4%
6 124
 
9.3%
7 101
 
7.6%
9 38
 
2.8%
2 31
 
2.3%
8 25
 
1.9%
4 19
 
1.4%
3 19
 
1.4%
Other Punctuation
Value Count Frequency (%)
. 319
50.2%
: 310
48.8%
/ 6
 
0.9%
Math Symbol
Value Count Frequency (%)
+ 6
100.0%
Dash Punctuation
Value Count Frequency (%)
- 6
100.0%
Lowercase Letter
Value Count Frequency (%)
x 4
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 1984
99.8%
Latin 4
 
0.2%

Most frequent character per script

Common
Value Count Frequency (%)
1 699
35.2%
. 319
16.1%
: 310
15.6%
5 142
 
7.2%
0 139
 
7.0%
6 124
 
6.2%
7 101
 
5.1%
9 38
 
1.9%
2 31
 
1.6%
8 25
 
1.3%
Other values (5) 56
 
2.8%
Latin
Value Count Frequency (%)
x 4
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 1988
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
1 699
35.2%
. 319
16.0%
: 310
15.6%
5 142
 
7.1%
0 139
 
7.0%
6 124
 
6.2%
7 101
 
5.1%
9 38
 
1.9%
2 31
 
1.6%
8 25
 
1.3%
Other values (6) 60
 
3.0%

Adjustable_Steering_Column
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 0.4%
Missing 191
Missing (%) 15.0%
Memory size 10.1 KiB
Rake, Reach
541 
Rake
477 
Reach, Rake
 
51
Yes
 
16

Length

Max length 11
Median length 11
Mean length 7.804608295
Min length 3

Characters and Unicode

Total characters 8468
Distinct characters 10
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Rake
2nd row Rake
3rd row Rake
4th row Rake
5th row Rake

Common Values

Value Count Frequency (%)
Rake, Reach 541
42.4%
Rake 477
37.4%
Reach, Rake 51
 
4.0%
Yes 16
 
1.3%
(Missing) 191
 
15.0%

Length

2022-05-22T01:11:14.863616 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:15.224347 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
rake 1069
63.7%
reach 592
35.3%
yes 16
 
1.0%

Most occurring characters

Value Count Frequency (%)
e 1677
19.8%
R 1661
19.6%
a 1661
19.6%
k 1069
12.6%
, 592
 
7.0%
592
 
7.0%
c 592
 
7.0%
h 592
 
7.0%
Y 16
 
0.2%
s 16
 
0.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 5607
66.2%
Uppercase Letter 1677
 
19.8%
Other Punctuation 592
 
7.0%
Space Separator 592
 
7.0%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 1677
29.9%
a 1661
29.6%
k 1069
19.1%
c 592
 
10.6%
h 592
 
10.6%
s 16
 
0.3%
Uppercase Letter
Value Count Frequency (%)
R 1661
99.0%
Y 16
 
1.0%
Other Punctuation
Value Count Frequency (%)
, 592
100.0%
Space Separator
Value Count Frequency (%)
592
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 7284
86.0%
Common 1184
 
14.0%

Most frequent character per script

Latin
Value Count Frequency (%)
e 1677
23.0%
R 1661
22.8%
a 1661
22.8%
k 1069
14.7%
c 592
 
8.1%
h 592
 
8.1%
Y 16
 
0.2%
s 16
 
0.2%
Common
Value Count Frequency (%)
, 592
50.0%
592
50.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 8468
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 1677
19.8%
R 1661
19.6%
a 1661
19.6%
k 1069
12.6%
, 592
 
7.0%
592
 
7.0%
c 592
 
7.0%
h 592
 
7.0%
Y 16
 
0.2%
s 16
 
0.2%

Other_Specs
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 40.0%
Missing 1266
Missing (%) 99.2%
Memory size 10.1 KiB
2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp
tubeless tyre
SportShift Selector – Jet Leather, 3-spoke leather steering wheel with Ignis paddles, Dark Hex Aluminium Centre Console, Sports Seats, Instrument Cluster - Twin dials with 5" colour TFT display, Configurable Ambient Interior Lighting – with selectabl
Jaguar Sequential ShiftTM, Active Sports Exhaust, Limited Slip Differential, Dynamic Stability Control (with Trac DSC mode), Jaguar High Performance Braking System with Brake Disc diameter, Front: 380mm, Rear: 325mm with Black calipers, Configurable

Length

Max length 250
Median length 249
Mean length 125.6
Min length 13

Characters and Unicode

Total characters 1256
Distinct characters 54
Distinct categories 8 ?
Distinct scripts 2 ?
Distinct blocks 2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 10.0%

Sample

1st row tubeless tyre
2nd row tubeless tyre
3rd row tubeless tyre
4th row 2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp
5th row 2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp

Common Values

Value Count Frequency (%)
2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp 4
 
0.3%
tubeless tyre 3
 
0.2%
SportShift Selector – Jet Leather, 3-spoke leather steering wheel with Ignis paddles, Dark Hex Aluminium Centre Console, Sports Seats, Instrument Cluster - Twin dials with 5" colour TFT display, Configurable Ambient Interior Lighting – with selectabl 2
 
0.2%
Jaguar Sequential ShiftTM, Active Sports Exhaust, Limited Slip Differential, Dynamic Stability Control (with Trac DSC mode), Jaguar High Performance Braking System with Brake Disc diameter, Front: 380mm, Rear: 325mm with Black calipers, Configurable 1
 
0.1%
(Missing) 1266
99.2%

Length

2022-05-22T01:11:15.568833 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:15.950059 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
10
 
5.3%
interior 10
 
5.3%
with 9
 
4.8%
front 9
 
4.8%
colour 6
 
3.2%
black 5
 
2.7%
rear 5
 
2.7%
2-tone 4
 
2.1%
pockets 4
 
2.1%
leather 4
 
2.1%
Other values (61) 121
64.7%

Most occurring characters

Value Count Frequency (%)
177
14.1%
e 111
 
8.8%
t 86
 
6.8%
r 82
 
6.5%
o 79
 
6.3%
i 76
 
6.1%
n 64
 
5.1%
l 57
 
4.5%
a 56
 
4.5%
s 39
 
3.1%
Other values (44) 429
34.2%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 879
70.0%
Space Separator 177
 
14.1%
Uppercase Letter 143
 
11.4%
Other Punctuation 29
 
2.3%
Decimal Number 14
 
1.1%
Dash Punctuation 12
 
1.0%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 111
12.6%
t 86
9.8%
r 82
9.3%
o 79
9.0%
i 76
 
8.6%
n 64
 
7.3%
l 57
 
6.5%
a 56
 
6.4%
s 39
 
4.4%
u 32
 
3.6%
Other values (14) 197
22.4%
Uppercase Letter
Value Count Frequency (%)
I 18
12.6%
S 17
11.9%
C 15
10.5%
B 15
10.5%
T 12
8.4%
F 11
7.7%
D 10
7.0%
L 9
6.3%
R 9
6.3%
A 5
 
3.5%
Other values (6) 22
15.4%
Decimal Number
Value Count Frequency (%)
2 5
35.7%
3 4
28.6%
5 3
21.4%
8 1
 
7.1%
0 1
 
7.1%
Other Punctuation
Value Count Frequency (%)
, 17
58.6%
& 8
27.6%
: 2
 
6.9%
" 2
 
6.9%
Dash Punctuation
Value Count Frequency (%)
- 8
66.7%
4
33.3%
Space Separator
Value Count Frequency (%)
177
100.0%
Open Punctuation
Value Count Frequency (%)
( 1
100.0%
Close Punctuation
Value Count Frequency (%)
) 1
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 1022
81.4%
Common 234
 
18.6%

Most frequent character per script

Latin
Value Count Frequency (%)
e 111
 
10.9%
t 86
 
8.4%
r 82
 
8.0%
o 79
 
7.7%
i 76
 
7.4%
n 64
 
6.3%
l 57
 
5.6%
a 56
 
5.5%
s 39
 
3.8%
u 32
 
3.1%
Other values (30) 340
33.3%
Common
Value Count Frequency (%)
177
75.6%
, 17
 
7.3%
- 8
 
3.4%
& 8
 
3.4%
2 5
 
2.1%
3 4
 
1.7%
4
 
1.7%
5 3
 
1.3%
: 2
 
0.9%
" 2
 
0.9%
Other values (4) 4
 
1.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 1252
99.7%
Punctuation 4
 
0.3%

Most frequent character per block

ASCII
Value Count Frequency (%)
177
14.1%
e 111
 
8.9%
t 86
 
6.9%
r 82
 
6.5%
o 79
 
6.3%
i 76
 
6.1%
n 64
 
5.1%
l 57
 
4.6%
a 56
 
4.5%
s 39
 
3.1%
Other values (43) 425
33.9%
Punctuation
Value Count Frequency (%)
4
100.0%

Other_specs
Categorical

HIGH CORRELATION
MISSING

Distinct 10
Distinct (%) 15.9%
Missing 1213
Missing (%) 95.1%
Memory size 10.1 KiB
Air Conditioner : Standard
47 
Chrome Radiator Grille Wraparound Clear Lens Headlamps & Tail Lamps, Bumpers Tubeless Tyres
 
4
Electric Power Steering Manual AC With Heater Tinted Glass Front Power Outlet Front Power Windows Internally Adjustable ORVM Front Washer & Wiper
 
3
Internally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet
 
2
Intelligent Stop/Start, Reverse Traffic Detection, Blind spot monitor, Front Parking Aid , Rear parking aid with Touch-Screen visual Indicator and reverse park camera with guidance, Rain Sensing Windscreen wipers, Bi-function HID Xenon headlamps wit
 
2
Other values (5)

Length

Max length 249
Median length 26
Mean length 50.9047619
Min length 17

Characters and Unicode

Total characters 3207
Distinct characters 57
Distinct categories 6 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 5 ?
Unique (%) 7.9%

Sample

1st row Rear Reading Lamp
2nd row Air Conditioner : Standard
3rd row Internally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet
4th row Manual AC Tilt Steering Power Windows Front & Rear Remote Keyless Entry Internally Adjustable ORVM Passenger Side Vanity Mirror Tachometer Semi Drive Computer Adjustable Rear Headrest Rear Parcel Shelf Assist Grip 12V Power Outlet
5th row Internally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet

Common Values

Value Count Frequency (%)
Air Conditioner : Standard 47
 
3.7%
Chrome Radiator Grille Wraparound Clear Lens Headlamps & Tail Lamps, Bumpers Tubeless Tyres 4
 
0.3%
Electric Power Steering Manual AC With Heater Tinted Glass Front Power Outlet Front Power Windows Internally Adjustable ORVM Front Washer & Wiper 3
 
0.2%
Internally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet 2
 
0.2%
Intelligent Stop/Start, Reverse Traffic Detection, Blind spot monitor, Front Parking Aid , Rear parking aid with Touch-Screen visual Indicator and reverse park camera with guidance, Rain Sensing Windscreen wipers, Bi-function HID Xenon headlamps wit 2
 
0.2%
Rear Reading Lamp 1
 
0.1%
Manual AC Tilt Steering Power Windows Front & Rear Remote Keyless Entry Internally Adjustable ORVM Passenger Side Vanity Mirror Tachometer Semi Drive Computer Adjustable Rear Headrest Rear Parcel Shelf Assist Grip 12V Power Outlet 1
 
0.1%
Air Conditioner : Auto Climate Control Air Conditioning 1
 
0.1%
3rd Row: One-touch Easy Space-Up with Recline 1
 
0.1%
Meridian 380W Sound System - 10 speakers, Meridian 770W Sound System - 12 speakers, Dual Zone Automatic Climate Control, Digital Television 1
 
0.1%
(Missing) 1213
95.1%

Length

2022-05-22T01:11:16.363408 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:16.797054 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
60
 
12.6%
air 49
 
10.3%
conditioner 48
 
10.1%
standard 47
 
9.9%
power 13
 
2.7%
front 12
 
2.5%
adjustable 9
 
1.9%
rear 8
 
1.7%
with 8
 
1.7%
orvm 6
 
1.3%
Other values (93) 217
45.5%

Most occurring characters

Value Count Frequency (%)
414
12.9%
r 285
 
8.9%
i 252
 
7.9%
n 247
 
7.7%
e 236
 
7.4%
a 220
 
6.9%
t 209
 
6.5%
d 197
 
6.1%
o 175
 
5.5%
s 90
 
2.8%
Other values (47) 882
27.5%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 2280
71.1%
Space Separator 414
 
12.9%
Uppercase Letter 410
 
12.8%
Other Punctuation 78
 
2.4%
Decimal Number 17
 
0.5%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 285
12.5%
i 252
11.1%
n 247
10.8%
e 236
10.4%
a 220
9.6%
t 209
9.2%
d 197
8.6%
o 175
7.7%
s 90
 
3.9%
l 83
 
3.6%
Other values (13) 286
12.5%
Uppercase Letter
Value Count Frequency (%)
A 69
16.8%
S 69
16.8%
C 68
16.6%
R 26
 
6.3%
T 22
 
5.4%
W 21
 
5.1%
P 17
 
4.1%
M 13
 
3.2%
O 13
 
3.2%
H 12
 
2.9%
Other values (12) 80
19.5%
Decimal Number
Value Count Frequency (%)
1 5
29.4%
2 4
23.5%
0 3
17.6%
3 2
 
11.8%
7 2
 
11.8%
8 1
 
5.9%
Other Punctuation
Value Count Frequency (%)
: 49
62.8%
, 19
 
24.4%
& 8
 
10.3%
/ 2
 
2.6%
Space Separator
Value Count Frequency (%)
414
100.0%
Dash Punctuation
Value Count Frequency (%)
- 8
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 2690
83.9%
Common 517
 
16.1%

Most frequent character per script

Latin
Value Count Frequency (%)
r 285
10.6%
i 252
 
9.4%
n 247
 
9.2%
e 236
 
8.8%
a 220
 
8.2%
t 209
 
7.8%
d 197
 
7.3%
o 175
 
6.5%
s 90
 
3.3%
l 83
 
3.1%
Other values (35) 696
25.9%
Common
Value Count Frequency (%)
414
80.1%
: 49
 
9.5%
, 19
 
3.7%
& 8
 
1.5%
- 8
 
1.5%
1 5
 
1.0%
2 4
 
0.8%
0 3
 
0.6%
/ 2
 
0.4%
3 2
 
0.4%
Other values (2) 3
 
0.6%

Most occurring blocks

Value Count Frequency (%)
ASCII 3207
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
414
12.9%
r 285
 
8.9%
i 252
 
7.9%
n 247
 
7.7%
e 236
 
7.4%
a 220
 
6.9%
t 209
 
6.5%
d 197
 
6.1%
o 175
 
5.5%
s 90
 
2.8%
Other values (47) 882
27.5%

Parking_Assistance
Categorical

HIGH CORRELATION
MISSING

Distinct 10
Distinct (%) 1.0%
Missing 290
Missing (%) 22.7%
Memory size 10.1 KiB
Rear sensors with camera
367 
Rear sensors
277 
Front and rear sensors with camera
181 
Front & rear sensors with 360 degree view
120 
Rear sensors, Rear sensors with camera
 
17
Other values (5)
 
24

Length

Max length 77
Median length 41
Mean length 24.59533469
Min length 3

Characters and Unicode

Total characters 24251
Distinct characters 24
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 2 ?
Unique (%) 0.2%

Sample

1st row Rear sensors
2nd row Rear sensors
3rd row Rear sensors with camera
4th row Rear sensors with camera
5th row Rear sensors with camera

Common Values

Value Count Frequency (%)
Rear sensors with camera 367
28.8%
Rear sensors 277
21.7%
Front and rear sensors with camera 181
14.2%
Front & rear sensors with 360 degree view 120
 
9.4%
Rear sensors, Rear sensors with camera 17
 
1.3%
Yes 15
 
1.2%
Front sensors, Rear sensors 5
 
0.4%
Front and rear sensors with camera, Front & rear sensors with 360 degree view 2
 
0.2%
Rear sensors with camera, Rear sensors 1
 
0.1%
Rear sensors, Front sensors 1
 
0.1%
(Missing) 290
22.7%

Length

2022-05-22T01:11:17.293811 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:17.701751 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
sensors 997
23.5%
rear 991
23.4%
with 690
16.3%
camera 568
13.4%
front 311
 
7.3%
and 183
 
4.3%
122
 
2.9%
360 122
 
2.9%
degree 122
 
2.9%
view 122
 
2.9%

Most occurring characters

Value Count Frequency (%)
r 3294
13.6%
3257
13.4%
e 3059
12.6%
s 3006
12.4%
a 2310
9.5%
n 1491
 
6.1%
o 1308
 
5.4%
t 1001
 
4.1%
w 812
 
3.3%
i 812
 
3.3%
Other values (14) 3901
16.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 19468
80.3%
Space Separator 3257
 
13.4%
Uppercase Letter 1012
 
4.2%
Decimal Number 366
 
1.5%
Other Punctuation 148
 
0.6%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
r 3294
16.9%
e 3059
15.7%
s 3006
15.4%
a 2310
11.9%
n 1491
7.7%
o 1308
 
6.7%
t 1001
 
5.1%
w 812
 
4.2%
i 812
 
4.2%
h 690
 
3.5%
Other values (5) 1685
8.7%
Uppercase Letter
Value Count Frequency (%)
R 686
67.8%
F 311
30.7%
Y 15
 
1.5%
Decimal Number
Value Count Frequency (%)
3 122
33.3%
6 122
33.3%
0 122
33.3%
Other Punctuation
Value Count Frequency (%)
& 122
82.4%
, 26
 
17.6%
Space Separator
Value Count Frequency (%)
3257
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 20480
84.5%
Common 3771
 
15.5%

Most frequent character per script

Latin
Value Count Frequency (%)
r 3294
16.1%
e 3059
14.9%
s 3006
14.7%
a 2310
11.3%
n 1491
7.3%
o 1308
 
6.4%
t 1001
 
4.9%
w 812
 
4.0%
i 812
 
4.0%
h 690
 
3.4%
Other values (8) 2697
13.2%
Common
Value Count Frequency (%)
3257
86.4%
& 122
 
3.2%
3 122
 
3.2%
6 122
 
3.2%
0 122
 
3.2%
, 26
 
0.7%

Most occurring blocks

Value Count Frequency (%)
ASCII 24251
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
r 3294
13.6%
3257
13.4%
e 3059
12.6%
s 3006
12.4%
a 2310
9.5%
n 1491
 
6.1%
o 1308
 
5.4%
t 1001
 
4.1%
w 812
 
3.3%
i 812
 
3.3%
Other values (14) 3901
16.1%

Key_Off_Reminder
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 340
Missing (%) 26.6%
Memory size 2.6 KiB
True
936 
(Missing)
340 
Value Count Frequency (%)
True 936
73.4%
(Missing) 340
 
26.6%
2022-05-22T01:11:18.083803 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

USB_Compatibility
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 267
Missing (%) 20.9%
Memory size 2.6 KiB
True
1009 
(Missing)
267 
Value Count Frequency (%)
True 1009
79.1%
(Missing) 267
 
20.9%
2022-05-22T01:11:18.387322 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Android_Auto
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.6%
Missing 1103
Missing (%) 86.4%
Memory size 2.6 KiB
True
173 
(Missing)
1103 
Value Count Frequency (%)
True 173
 
13.6%
(Missing) 1103
86.4%
2022-05-22T01:11:18.709797 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Apple_CarPlay
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.6%
Missing 1103
Missing (%) 86.4%
Memory size 2.6 KiB
True
173 
(Missing)
1103 
Value Count Frequency (%)
True 173
 
13.6%
(Missing) 1103
86.4%
2022-05-22T01:11:19.034259 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Cigarette_Lighter
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 682
Missing (%) 53.4%
Memory size 2.6 KiB
True
594 
(Missing)
682 
Value Count Frequency (%)
True 594
46.6%
(Missing) 682
53.4%
2022-05-22T01:11:19.345674 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Infotainment_Screen
Categorical

HIGH CORRELATION
MISSING

Distinct 2
Distinct (%) 0.2%
Missing 462
Missing (%) 36.2%
Memory size 10.1 KiB
Touch Sensitive
737 
Yes
77 

Length

Max length 15
Median length 15
Mean length 13.86486486
Min length 3

Characters and Unicode

Total characters 11286
Distinct characters 14
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Touch Sensitive
2nd row Touch Sensitive
3rd row Touch Sensitive
4th row Touch Sensitive
5th row Touch Sensitive

Common Values

Value Count Frequency (%)
Touch Sensitive 737
57.8%
Yes 77
 
6.0%
(Missing) 462
36.2%

Length

2022-05-22T01:11:19.668753 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:20.031336 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
touch 737
47.5%
sensitive 737
47.5%
yes 77
 
5.0%

Most occurring characters

Value Count Frequency (%)
e 1551
13.7%
i 1474
13.1%
s 814
 
7.2%
T 737
 
6.5%
o 737
 
6.5%
u 737
 
6.5%
c 737
 
6.5%
h 737
 
6.5%
737
 
6.5%
S 737
 
6.5%
Other values (4) 2288
20.3%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 8998
79.7%
Uppercase Letter 1551
 
13.7%
Space Separator 737
 
6.5%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 1551
17.2%
i 1474
16.4%
s 814
9.0%
o 737
8.2%
u 737
8.2%
c 737
8.2%
h 737
8.2%
n 737
8.2%
t 737
8.2%
v 737
8.2%
Uppercase Letter
Value Count Frequency (%)
T 737
47.5%
S 737
47.5%
Y 77
 
5.0%
Space Separator
Value Count Frequency (%)
737
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 10549
93.5%
Common 737
 
6.5%

Most frequent character per script

Latin
Value Count Frequency (%)
e 1551
14.7%
i 1474
14.0%
s 814
7.7%
T 737
7.0%
o 737
7.0%
u 737
7.0%
c 737
7.0%
h 737
7.0%
S 737
7.0%
n 737
7.0%
Other values (3) 1551
14.7%
Common
Value Count Frequency (%)
737
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 11286
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 1551
13.7%
i 1474
13.1%
s 814
 
7.2%
T 737
 
6.5%
o 737
 
6.5%
u 737
 
6.5%
c 737
 
6.5%
h 737
 
6.5%
737
 
6.5%
S 737
 
6.5%
Other values (4) 2288
20.3%

Multifunction_Steering_Wheel
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 0.5%
Missing 351
Missing (%) 27.5%
Memory size 10.1 KiB
Multifunction Steering Wheel
719 
Yes
118 
Multifunction Steering Wheel, With gear shift paddles
74 
With gear shift paddles, Multifunction Steering Wheel
 
9
With gear shift paddles
 
5

Length

Max length 53
Median length 28
Mean length 27.02702703
Min length 3

Characters and Unicode

Total characters 25000
Distinct characters 22
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Multifunction Steering Wheel
2nd row Multifunction Steering Wheel
3rd row Multifunction Steering Wheel
4th row Multifunction Steering Wheel
5th row Multifunction Steering Wheel

Common Values

Value Count Frequency (%)
Multifunction Steering Wheel 719
56.3%
Yes 118
 
9.2%
Multifunction Steering Wheel, With gear shift paddles 74
 
5.8%
With gear shift paddles, Multifunction Steering Wheel 9
 
0.7%
With gear shift paddles 5
 
0.4%
(Missing) 351
27.5%

Length

2022-05-22T01:11:20.366680 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:20.724577 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
multifunction 802
27.9%
steering 802
27.9%
wheel 802
27.9%
yes 118
 
4.1%
with 88
 
3.1%
gear 88
 
3.1%
shift 88
 
3.1%
paddles 88
 
3.1%

Most occurring characters

Value Count Frequency (%)
e 3502
14.0%
t 2582
10.3%
i 2582
10.3%
n 2406
9.6%
1951
 
7.8%
l 1692
 
6.8%
u 1604
 
6.4%
h 978
 
3.9%
r 890
 
3.6%
f 890
 
3.6%
Other values (12) 5923
23.7%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 20354
81.4%
Uppercase Letter 2612
 
10.4%
Space Separator 1951
 
7.8%
Other Punctuation 83
 
0.3%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 3502
17.2%
t 2582
12.7%
i 2582
12.7%
n 2406
11.8%
l 1692
8.3%
u 1604
7.9%
h 978
 
4.8%
r 890
 
4.4%
f 890
 
4.4%
g 890
 
4.4%
Other values (6) 2338
11.5%
Uppercase Letter
Value Count Frequency (%)
W 890
34.1%
M 802
30.7%
S 802
30.7%
Y 118
 
4.5%
Space Separator
Value Count Frequency (%)
1951
100.0%
Other Punctuation
Value Count Frequency (%)
, 83
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 22966
91.9%
Common 2034
 
8.1%

Most frequent character per script

Latin
Value Count Frequency (%)
e 3502
15.2%
t 2582
11.2%
i 2582
11.2%
n 2406
10.5%
l 1692
 
7.4%
u 1604
 
7.0%
h 978
 
4.3%
r 890
 
3.9%
f 890
 
3.9%
W 890
 
3.9%
Other values (10) 4950
21.6%
Common
Value Count Frequency (%)
1951
95.9%
, 83
 
4.1%

Most occurring blocks

Value Count Frequency (%)
ASCII 25000
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
e 3502
14.0%
t 2582
10.3%
i 2582
10.3%
n 2406
9.6%
1951
 
7.8%
l 1692
 
6.8%
u 1604
 
6.4%
h 978
 
3.9%
r 890
 
3.6%
f 890
 
3.6%
Other values (12) 5923
23.7%

Average_Speed
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 512
Missing (%) 40.1%
Memory size 2.6 KiB
True
764 
(Missing)
512 
Value Count Frequency (%)
True 764
59.9%
(Missing) 512
40.1%
2022-05-22T01:11:21.080717 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

EBA_(Electronic_Brake_Assist)
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 690
Missing (%) 54.1%
Memory size 2.6 KiB
True
586 
(Missing)
690 
Value Count Frequency (%)
True 586
45.9%
(Missing) 690
54.1%
2022-05-22T01:11:21.391509 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Seat_Height_Adjustment
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 0.4%
Missing 326
Missing (%) 25.5%
Memory size 10.1 KiB
Manual Adjustment
529 
Electric Adjustment with Memory
239 
Electric Adjustment
168 
Semi Automatic Adjustment
 
14

Length

Max length 31
Median length 17
Mean length 20.99368421
Min length 17

Characters and Unicode

Total characters 19944
Distinct characters 22
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Manual Adjustment
2nd row Manual Adjustment
3rd row Manual Adjustment
4th row Manual Adjustment
5th row Manual Adjustment

Common Values

Value Count Frequency (%)
Manual Adjustment 529
41.5%
Electric Adjustment with Memory 239
18.7%
Electric Adjustment 168
 
13.2%
Semi Automatic Adjustment 14
 
1.1%
(Missing) 326
25.5%

Length

2022-05-22T01:11:21.722506 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:22.084258 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
adjustment 950
39.7%
manual 529
22.1%
electric 407
17.0%
with 239
 
10.0%
memory 239
 
10.0%
semi 14
 
0.6%
automatic 14
 
0.6%

Most occurring characters

Value Count Frequency (%)
t 2574
12.9%
e 1610
 
8.1%
u 1493
 
7.5%
n 1479
 
7.4%
1442
 
7.2%
m 1217
 
6.1%
a 1072
 
5.4%
A 964
 
4.8%
d 950
 
4.8%
j 950
 
4.8%
Other values (12) 6193
31.1%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 16349
82.0%
Uppercase Letter 2153
 
10.8%
Space Separator 1442
 
7.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
t 2574
15.7%
e 1610
9.8%
u 1493
9.1%
n 1479
9.0%
m 1217
 
7.4%
a 1072
 
6.6%
d 950
 
5.8%
j 950
 
5.8%
s 950
 
5.8%
l 936
 
5.7%
Other values (7) 3118
19.1%
Uppercase Letter
Value Count Frequency (%)
A 964
44.8%
M 768
35.7%
E 407
18.9%
S 14
 
0.7%
Space Separator
Value Count Frequency (%)
1442
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 18502
92.8%
Common 1442
 
7.2%

Most frequent character per script

Latin
Value Count Frequency (%)
t 2574
13.9%
e 1610
 
8.7%
u 1493
 
8.1%
n 1479
 
8.0%
m 1217
 
6.6%
a 1072
 
5.8%
A 964
 
5.2%
d 950
 
5.1%
j 950
 
5.1%
s 950
 
5.1%
Other values (11) 5243
28.3%
Common
Value Count Frequency (%)
1442
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 19944
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
t 2574
12.9%
e 1610
 
8.1%
u 1493
 
7.5%
n 1479
 
7.4%
1442
 
7.2%
m 1217
 
6.1%
a 1072
 
5.4%
A 964
 
4.8%
d 950
 
4.8%
j 950
 
4.8%
Other values (12) 6193
31.1%

Navigation_System
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 593
Missing (%) 46.5%
Memory size 2.6 KiB
True
683 
(Missing)
593 
Value Count Frequency (%)
True 683
53.5%
(Missing) 593
46.5%
2022-05-22T01:11:22.421585 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Second_Row_AC_Vents
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.1%
Missing 602
Missing (%) 47.2%
Memory size 2.6 KiB
True
674 
(Missing)
602 
Value Count Frequency (%)
True 674
52.8%
(Missing) 602
47.2%
2022-05-22T01:11:22.740349 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Tyre_Pressure_Monitoring_System
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.3%
Missing 936
Missing (%) 73.4%
Memory size 2.6 KiB
True
340 
(Missing)
936 
Value Count Frequency (%)
True 340
 
26.6%
(Missing) 936
73.4%
2022-05-22T01:11:23.057540 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Rear_Center_Armrest
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 0.7%
Missing 559
Missing (%) 43.8%
Memory size 10.1 KiB
Cup Holders
493 
Yes
197 
Audio Controls
 
13
Audio Controls, Cup Holders
 
11
Cup Holders, Audio Controls
 
3

Length

Max length 27
Median length 11
Mean length 9.168758717
Min length 3

Characters and Unicode

Total characters 6574
Distinct characters 17
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Yes
2nd row Yes
3rd row Yes
4th row Yes
5th row Cup Holders

Common Values

Value Count Frequency (%)
Cup Holders 493
38.6%
Yes 197
 
15.4%
Audio Controls 13
 
1.0%
Audio Controls, Cup Holders 11
 
0.9%
Cup Holders, Audio Controls 3
 
0.2%
(Missing) 559
43.8%

Length

2022-05-22T01:11:23.371480 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:23.737361 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
cup 507
40.1%
holders 507
40.1%
yes 197
 
15.6%
audio 27
 
2.1%
controls 27
 
2.1%

Most occurring characters

Value Count Frequency (%)
s 731
11.1%
e 704
10.7%
o 588
8.9%
548
8.3%
d 534
8.1%
r 534
8.1%
u 534
8.1%
C 534
8.1%
l 534
8.1%
H 507
7.7%
Other values (7) 826
12.6%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 4747
72.2%
Uppercase Letter 1265
 
19.2%
Space Separator 548
 
8.3%
Other Punctuation 14
 
0.2%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
s 731
15.4%
e 704
14.8%
o 588
12.4%
d 534
11.2%
r 534
11.2%
u 534
11.2%
l 534
11.2%
p 507
10.7%
i 27
 
0.6%
n 27
 
0.6%
Uppercase Letter
Value Count Frequency (%)
C 534
42.2%
H 507
40.1%
Y 197
 
15.6%
A 27
 
2.1%
Space Separator
Value Count Frequency (%)
548
100.0%
Other Punctuation
Value Count Frequency (%)
, 14
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 6012
91.5%
Common 562
 
8.5%

Most frequent character per script

Latin
Value Count Frequency (%)
s 731
12.2%
e 704
11.7%
o 588
9.8%
d 534
8.9%
r 534
8.9%
u 534
8.9%
C 534
8.9%
l 534
8.9%
H 507
8.4%
p 507
8.4%
Other values (5) 305
5.1%
Common
Value Count Frequency (%)
548
97.5%
, 14
 
2.5%

Most occurring blocks

Value Count Frequency (%)
ASCII 6574
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
s 731
11.1%
e 704
10.7%
o 588
8.9%
548
8.3%
d 534
8.1%
r 534
8.1%
u 534
8.1%
C 534
8.1%
l 534
8.1%
H 507
7.7%
Other values (7) 826
12.6%

iPod_Compatibility
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 663
Missing (%) 52.0%
Memory size 2.6 KiB
True
613 
(Missing)
663 
Value Count Frequency (%)
True 613
48.0%
(Missing) 663
52.0%
2022-05-22T01:11:24.087084 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

ESP_(Electronic_Stability_Program)
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 779
Missing (%) 61.1%
Memory size 2.6 KiB
True
497 
(Missing)
779 
Value Count Frequency (%)
True 497
38.9%
(Missing) 779
61.1%
2022-05-22T01:11:24.391264 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Cooled_Glove_Box
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 645
Missing (%) 50.5%
Memory size 2.6 KiB
True
631 
(Missing)
645 
Value Count Frequency (%)
True 631
49.5%
(Missing) 645
50.5%
2022-05-22T01:11:24.703796 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Recommended_Tyre_Pressure
Categorical

HIGH CORRELATION
MISSING

Distinct 2
Distinct (%) 20.0%
Missing 1266
Missing (%) 99.2%
Memory size 10.1 KiB
2.4 PSI
175/60R15 psi

Length

Max length 13
Median length 7
Mean length 7.6
Min length 7

Characters and Unicode

Total characters 76
Distinct characters 17
Distinct categories 5 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 1 ?
Unique (%) 10.0%

Sample

1st row 175/60R15 psi
2nd row 2.4 PSI
3rd row 2.4 PSI
4th row 2.4 PSI
5th row 2.4 PSI

Common Values

Value Count Frequency (%)
2.4 PSI 9
 
0.7%
175/60R15 psi 1
 
0.1%
(Missing) 1266
99.2%

Length

2022-05-22T01:11:25.031760 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:25.427878 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
psi 10
50.0%
2.4 9
45.0%
175/60r15 1
 
5.0%

Most occurring characters

Value Count Frequency (%)
10
13.2%
2 9
11.8%
4 9
11.8%
P 9
11.8%
S 9
11.8%
I 9
11.8%
. 9
11.8%
1 2
 
2.6%
5 2
 
2.6%
R 1
 
1.3%
Other values (7) 7
9.2%

Most occurring categories

Value Count Frequency (%)
Uppercase Letter 28
36.8%
Decimal Number 25
32.9%
Space Separator 10
 
13.2%
Other Punctuation 10
 
13.2%
Lowercase Letter 3
 
3.9%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
2 9
36.0%
4 9
36.0%
1 2
 
8.0%
5 2
 
8.0%
7 1
 
4.0%
0 1
 
4.0%
6 1
 
4.0%
Uppercase Letter
Value Count Frequency (%)
P 9
32.1%
S 9
32.1%
I 9
32.1%
R 1
 
3.6%
Lowercase Letter
Value Count Frequency (%)
s 1
33.3%
p 1
33.3%
i 1
33.3%
Other Punctuation
Value Count Frequency (%)
. 9
90.0%
/ 1
 
10.0%
Space Separator
Value Count Frequency (%)
10
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 45
59.2%
Latin 31
40.8%

Most frequent character per script

Common
Value Count Frequency (%)
10
22.2%
2 9
20.0%
4 9
20.0%
. 9
20.0%
1 2
 
4.4%
5 2
 
4.4%
7 1
 
2.2%
0 1
 
2.2%
6 1
 
2.2%
/ 1
 
2.2%
Latin
Value Count Frequency (%)
P 9
29.0%
S 9
29.0%
I 9
29.0%
R 1
 
3.2%
s 1
 
3.2%
p 1
 
3.2%
i 1
 
3.2%

Most occurring blocks

Value Count Frequency (%)
ASCII 76
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
10
13.2%
2 9
11.8%
4 9
11.8%
P 9
11.8%
S 9
11.8%
I 9
11.8%
. 9
11.8%
1 2
 
2.6%
5 2
 
2.6%
R 1
 
1.3%
Other values (7) 7
9.2%

Heated_Seats
Categorical

HIGH CORRELATION
MISSING

Distinct 4
Distinct (%) 1.5%
Missing 1010
Missing (%) 79.2%
Memory size 10.1 KiB
Only front
104 
Yes
86 
All
73 
Driver
 
3

Length

Max length 10
Median length 3
Mean length 5.770676692
Min length 3

Characters and Unicode

Total characters 1535
Distinct characters 16
Distinct categories 3 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row Only front
2nd row Yes
3rd row Only front
4th row Only front
5th row Only front

Common Values

Value Count Frequency (%)
Only front 104
 
8.2%
Yes 86
 
6.7%
All 73
 
5.7%
Driver 3
 
0.2%
(Missing) 1010
79.2%

Length

2022-05-22T01:11:25.808861 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:26.176791 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
only 104
28.1%
front 104
28.1%
yes 86
23.2%
all 73
19.7%
driver 3
 
0.8%

Most occurring characters

Value Count Frequency (%)
l 250
16.3%
n 208
13.6%
r 110
7.2%
O 104
6.8%
y 104
6.8%
104
6.8%
f 104
6.8%
o 104
6.8%
t 104
6.8%
e 89
 
5.8%
Other values (6) 254
16.5%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 1165
75.9%
Uppercase Letter 266
 
17.3%
Space Separator 104
 
6.8%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
l 250
21.5%
n 208
17.9%
r 110
9.4%
y 104
8.9%
f 104
8.9%
o 104
8.9%
t 104
8.9%
e 89
 
7.6%
s 86
 
7.4%
i 3
 
0.3%
Uppercase Letter
Value Count Frequency (%)
O 104
39.1%
Y 86
32.3%
A 73
27.4%
D 3
 
1.1%
Space Separator
Value Count Frequency (%)
104
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 1431
93.2%
Common 104
 
6.8%

Most frequent character per script

Latin
Value Count Frequency (%)
l 250
17.5%
n 208
14.5%
r 110
7.7%
O 104
7.3%
y 104
7.3%
f 104
7.3%
o 104
7.3%
t 104
7.3%
e 89
 
6.2%
Y 86
 
6.0%
Other values (5) 168
11.7%
Common
Value Count Frequency (%)
104
100.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 1535
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
l 250
16.3%
n 208
13.6%
r 110
7.2%
O 104
6.8%
y 104
6.8%
104
6.8%
f 104
6.8%
o 104
6.8%
t 104
6.8%
e 89
 
5.8%
Other values (6) 254
16.5%

Turbocharger
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 618
Missing (%) 48.4%
Memory size 2.6 KiB
True
658 
(Missing)
618 
Value Count Frequency (%)
True 658
51.6%
(Missing) 618
48.4%
2022-05-22T01:11:26.511547 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

ISOFIX_(Child-Seat_Mount)
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 666
Missing (%) 52.2%
Memory size 2.6 KiB
True
610 
(Missing)
666 
Value Count Frequency (%)
True 610
47.8%
(Missing) 666
52.2%
2022-05-22T01:11:26.828213 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Rain_Sensing_Wipers
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 798
Missing (%) 62.5%
Memory size 2.6 KiB
True
478 
(Missing)
798 
Value Count Frequency (%)
True 478
37.5%
(Missing) 798
62.5%
2022-05-22T01:11:27.135819 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Paddle_Shifters
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.3%
Missing 972
Missing (%) 76.2%
Memory size 2.6 KiB
True
304 
(Missing)
972 
Value Count Frequency (%)
True 304
 
23.8%
(Missing) 972
76.2%
2022-05-22T01:11:27.450281 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Leather_Wrapped_Steering
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 689
Missing (%) 54.0%
Memory size 2.6 KiB
True
587 
(Missing)
689 
Value Count Frequency (%)
True 587
46.0%
(Missing) 689
54.0%
2022-05-22T01:11:27.765492 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Automatic_Headlamps
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 774
Missing (%) 60.7%
Memory size 2.6 KiB
True
502 
(Missing)
774 
Value Count Frequency (%)
True 502
39.3%
(Missing) 774
60.7%
2022-05-22T01:11:28.075610 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Engine_Type
Categorical

HIGH CORRELATION
MISSING

Distinct 11
Distinct (%) 32.4%
Missing 1242
Missing (%) 97.3%
Memory size 10.1 KiB
Revotron 1.2 L, BS6 Engine
1.2 L Revotron (BS VI)
1.5L Turbocharged Revotorq (BS VI)
CRDi
M1 Category
Other values (6)
10 

Length

Max length 145
Median length 26
Mean length 20.70588235
Min length 4

Characters and Unicode

Total characters 704
Distinct characters 54
Distinct categories 8 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 2 ?
Unique (%) 5.9%

Sample

1st row 2.0 Diesel
2nd row 2.0 Diesel
3rd row Roller cam follower, continuous intake and exhaust camshaft adjustment, hydraulic valve-play compensation / 2/2 inlet/exhaust valves per cylinder
4th row 1.2 L Revotron (BS VI)
5th row 1.2 L Revotron (BS VI)

Common Values

Value Count Frequency (%)
Revotron 1.2 L, BS6 Engine 6
 
0.5%
1.2 L Revotron (BS VI) 5
 
0.4%
1.5L Turbocharged Revotorq (BS VI) 5
 
0.4%
CRDi 5
 
0.4%
M1 Category 3
 
0.2%
2.0 Diesel 2
 
0.2%
D180 2
 
0.2%
P 250 2
 
0.2%
9G-TRONIC 2
 
0.2%
Roller cam follower, continuous intake and exhaust camshaft adjustment, hydraulic valve-play compensation / 2/2 inlet/exhaust valves per cylinder 1
 
0.1%
(Missing) 1242
97.3%

Length

2022-05-22T01:11:28.416060 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
Value Count Frequency (%)
revotron 11
 
8.9%
l 11
 
8.9%
1.2 11
 
8.9%
bs 10
 
8.1%
vi 10
 
8.1%
engine 7
 
5.7%
bs6 6
 
4.9%
1.5l 5
 
4.1%
turbocharged 5
 
4.1%
revotorq 5
 
4.1%
Other values (28) 42
34.1%

Most occurring characters

Value Count Frequency (%)
89
 
12.6%
o 48
 
6.8%
e 48
 
6.8%
r 35
 
5.0%
n 34
 
4.8%
t 29
 
4.1%
R 24
 
3.4%
1 21
 
3.0%
i 21
 
3.0%
a 21
 
3.0%
Other values (44) 334
47.4%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 364
51.7%
Uppercase Letter 138
 
19.6%
Space Separator 89
 
12.6%
Decimal Number 61
 
8.7%
Other Punctuation 29
 
4.1%
Close Punctuation 10
 
1.4%
Open Punctuation 10
 
1.4%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
o 48
13.2%
e 48
13.2%
r 35
9.6%
n 34
9.3%
t 29
 
8.0%
i 21
 
5.8%
a 21
 
5.8%
v 20
 
5.5%
g 15
 
4.1%
l 12
 
3.3%
Other values (15) 81
22.3%
Uppercase Letter
Value Count Frequency (%)
R 24
17.4%
B 17
12.3%
S 16
11.6%
L 16
11.6%
I 12
8.7%
V 10
7.2%
C 10
7.2%
D 9
 
6.5%
T 7
 
5.1%
E 6
 
4.3%
Other values (5) 11
8.0%
Decimal Number
Value Count Frequency (%)
1 21
34.4%
2 17
27.9%
5 7
 
11.5%
6 6
 
9.8%
0 6
 
9.8%
8 2
 
3.3%
9 2
 
3.3%
Other Punctuation
Value Count Frequency (%)
. 18
62.1%
, 8
27.6%
/ 3
 
10.3%
Space Separator
Value Count Frequency (%)
89
100.0%
Close Punctuation
Value Count Frequency (%)
) 10
100.0%
Open Punctuation
Value Count Frequency (%)
( 10
100.0%
Dash Punctuation
Value Count Frequency (%)
- 3
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 502
71.3%
Common 202
28.7%

Most frequent character per script

Latin
Value Count Frequency (%)
o 48
 
9.6%
e 48
 
9.6%
r 35
 
7.0%
n 34
 
6.8%
t 29
 
5.8%
R 24
 
4.8%
i 21
 
4.2%
a 21
 
4.2%
v 20
 
4.0%
B 17
 
3.4%
Other values (30) 205
40.8%
Common
Value Count Frequency (%)
89
44.1%
1 21
 
10.4%
. 18
 
8.9%
2 17
 
8.4%
) 10
 
5.0%
( 10
 
5.0%
, 8
 
4.0%
5 7
 
3.5%
6 6
 
3.0%
0 6
 
3.0%
Other values (4) 10
 
5.0%

Most occurring blocks

Value Count Frequency (%)
ASCII 704
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
89
 
12.6%
o 48
 
6.8%
e 48
 
6.8%
r 35
 
5.0%
n 34
 
4.8%
t 29
 
4.1%
R 24
 
3.4%
1 21
 
3.0%
i 21
 
3.0%
a 21
 
3.0%
Other values (44) 334
47.4%

ASR_/_Traction_Control
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 834
Missing (%) 65.4%
Memory size 2.6 KiB
True
442 
(Missing)
834 
Value Count Frequency (%)
True 442
34.6%
(Missing) 834
65.4%
2022-05-22T01:11:28.779823 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Cruise_Control
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 0.2%
Missing 727
Missing (%) 57.0%
Memory size 2.6 KiB
True
549 
(Missing)
727 
Value Count Frequency (%)
True 549
43.0%
(Missing) 727
57.0%
2022-05-22T01:11:29.102786 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

USB_Ports
Categorical

HIGH CORRELATION
MISSING

Distinct 3
Distinct (%) 10.3%
Missing 1247
Missing (%) 97.7%
Memory size 10.1 KiB
1.0
12 
2.0
11 
3.0

Length

Max length 3
Median length 3
Mean length 3
Min length 3

Characters and Unicode

Total characters 87
Distinct characters 5
Distinct categories 2 ?
Distinct scripts 1 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row 2.0
2nd row 3.0
3rd row 3.0
4th row 3.0
5th row 1.0

Common Values

Value Count Frequency (%)
1.0 12
 
0.9%
2.0 11
 
0.9%
3.0 6
 
0.5%
(Missing) 1247
97.7%

Length

2022-05-22T01:11:29.424969 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:29.767546 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
1.0 12
41.4%
2.0 11
37.9%
3.0 6
20.7%

Most occurring characters

Value Count Frequency (%)
. 29
33.3%
0 29
33.3%
1 12
13.8%
2 11
 
12.6%
3 6
 
6.9%

Most occurring categories

Value Count Frequency (%)
Decimal Number 58
66.7%
Other Punctuation 29
33.3%

Most frequent character per category

Decimal Number
Value Count Frequency (%)
0 29
50.0%
1 12
20.7%
2 11
 
19.0%
3 6
 
10.3%
Other Punctuation
Value Count Frequency (%)
. 29
100.0%

Most occurring scripts

Value Count Frequency (%)
Common 87
100.0%

Most frequent character per script

Common
Value Count Frequency (%)
. 29
33.3%
0 29
33.3%
1 12
13.8%
2 11
 
12.6%
3 6
 
6.9%

Most occurring blocks

Value Count Frequency (%)
ASCII 87
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
. 29
33.3%
0 29
33.3%
1 12
13.8%
2 11
 
12.6%
3 6
 
6.9%

Heads-Up_Display
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 2.0%
Missing 1225
Missing (%) 96.0%
Memory size 2.6 KiB
True
 
51
(Missing)
1225 
Value Count Frequency (%)
True 51
 
4.0%
(Missing) 1225
96.0%
2022-05-22T01:11:30.092301 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Welcome_Lights
Boolean

CONSTANT
MISSING
REJECTED

Distinct 1
Distinct (%) 1.4%
Missing 1207
Missing (%) 94.6%
Memory size 2.6 KiB
True
 
69
(Missing)
1207 
Value Count Frequency (%)
True 69
 
5.4%
(Missing) 1207
94.6%
2022-05-22T01:11:30.404106 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Battery
Categorical

HIGH CORRELATION
MISSING

Distinct 5
Distinct (%) 38.5%
Missing 1263
Missing (%) 99.0%
Memory size 10.1 KiB
21.5 kWh,Battery Placed Under Rear Seats
200 ampere-hour
30.2 kWh* Advanced Li-ion polymer, liquid cooled battery pack with IP67 certification
210 ampere-hour
44.5 (kWh), Lithium Ion

Length

Max length 85
Median length 40
Mean length 38.15384615
Min length 15

Characters and Unicode

Total characters 496
Distinct characters 46
Distinct categories 8 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 0 ?
Unique (%) 0.0%

Sample

1st row 210 ampere-hour
2nd row 210 ampere-hour
3rd row 21.5 kWh,Battery Placed Under Rear Seats
4th row 21.5 kWh,Battery Placed Under Rear Seats
5th row 21.5 kWh,Battery Placed Under Rear Seats

Common Values

Value Count Frequency (%)
21.5 kWh,Battery Placed Under Rear Seats 3
 
0.2%
200 ampere-hour 3
 
0.2%
30.2 kWh* Advanced Li-ion polymer, liquid cooled battery pack with IP67 certification 3
 
0.2%
210 ampere-hour 2
 
0.2%
44.5 (kWh), Lithium Ion 2
 
0.2%
(Missing) 1263
99.0%

Length

2022-05-22T01:11:30.743272 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:31.124964 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
ampere-hour 5
 
6.9%
kwh 5
 
6.9%
21.5 3
 
4.2%
kwh,battery 3
 
4.2%
certification 3
 
4.2%
ip67 3
 
4.2%
with 3
 
4.2%
pack 3
 
4.2%
battery 3
 
4.2%
cooled 3
 
4.2%
Other values (14) 38
52.8%

Most occurring characters

Value Count Frequency (%)
59
 
11.9%
e 40
 
8.1%
a 29
 
5.8%
i 28
 
5.6%
r 28
 
5.6%
t 26
 
5.2%
o 22
 
4.4%
c 18
 
3.6%
h 18
 
3.6%
d 18
 
3.6%
Other values (36) 210
42.3%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 322
64.9%
Space Separator 59
 
11.9%
Decimal Number 45
 
9.1%
Uppercase Letter 39
 
7.9%
Other Punctuation 19
 
3.8%
Dash Punctuation 8
 
1.6%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
e 40
12.4%
a 29
 
9.0%
i 28
 
8.7%
r 28
 
8.7%
t 26
 
8.1%
o 22
 
6.8%
c 18
 
5.6%
h 18
 
5.6%
d 18
 
5.6%
n 14
 
4.3%
Other values (12) 81
25.2%
Uppercase Letter
Value Count Frequency (%)
W 8
20.5%
P 6
15.4%
I 5
12.8%
L 5
12.8%
A 3
 
7.7%
S 3
 
7.7%
R 3
 
7.7%
U 3
 
7.7%
B 3
 
7.7%
Decimal Number
Value Count Frequency (%)
0 11
24.4%
2 11
24.4%
1 5
11.1%
5 5
11.1%
4 4
 
8.9%
6 3
 
6.7%
7 3
 
6.7%
3 3
 
6.7%
Other Punctuation
Value Count Frequency (%)
, 8
42.1%
. 8
42.1%
* 3
 
15.8%
Space Separator
Value Count Frequency (%)
59
100.0%
Dash Punctuation
Value Count Frequency (%)
- 8
100.0%
Open Punctuation
Value Count Frequency (%)
( 2
100.0%
Close Punctuation
Value Count Frequency (%)
) 2
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 361
72.8%
Common 135
 
27.2%

Most frequent character per script

Latin
Value Count Frequency (%)
e 40
 
11.1%
a 29
 
8.0%
i 28
 
7.8%
r 28
 
7.8%
t 26
 
7.2%
o 22
 
6.1%
c 18
 
5.0%
h 18
 
5.0%
d 18
 
5.0%
n 14
 
3.9%
Other values (21) 120
33.2%
Common
Value Count Frequency (%)
59
43.7%
0 11
 
8.1%
2 11
 
8.1%
, 8
 
5.9%
. 8
 
5.9%
- 8
 
5.9%
1 5
 
3.7%
5 5
 
3.7%
4 4
 
3.0%
6 3
 
2.2%
Other values (5) 13
 
9.6%

Most occurring blocks

Value Count Frequency (%)
ASCII 496
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
59
 
11.9%
e 40
 
8.1%
a 29
 
5.8%
i 28
 
5.6%
r 28
 
5.6%
t 26
 
5.2%
o 22
 
4.4%
c 18
 
3.6%
h 18
 
3.6%
d 18
 
3.6%
Other values (36) 210
42.3%

Electric_Range
Categorical

HIGH CORRELATION
MISSING

Distinct 8
Distinct (%) 47.1%
Missing 1259
Missing (%) 98.7%
Memory size 10.1 KiB
110 km/full charge
213 km/full charge
340 km/full charge
11.68 km/full charge
312 km/full charge
Other values (3)

Length

Max length 20
Median length 18
Mean length 18.35294118
Min length 18

Characters and Unicode

Total characters 312
Distinct characters 23
Distinct categories 4 ?
Distinct scripts 2 ?
Distinct blocks 1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique 3 ?
Unique (%) 17.6%

Sample

1st row 39.53 km/full charge
2nd row 110 km/full charge
3rd row 110 km/full charge
4th row 213 km/full charge
5th row 213 km/full charge

Common Values

Value Count Frequency (%)
110 km/full charge 5
 
0.4%
213 km/full charge 3
 
0.2%
340 km/full charge 2
 
0.2%
11.68 km/full charge 2
 
0.2%
312 km/full charge 2
 
0.2%
39.53 km/full charge 1
 
0.1%
300 km/full charge 1
 
0.1%
462 km/full charge 1
 
0.1%
(Missing) 1259
98.7%

Length

2022-05-22T01:11:31.509959 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-22T01:11:31.920587 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Value Count Frequency (%)
km/full 17
33.3%
charge 17
33.3%
110 5
 
9.8%
213 3
 
5.9%
340 2
 
3.9%
11.68 2
 
3.9%
312 2
 
3.9%
39.53 1
 
2.0%
300 1
 
2.0%
462 1
 
2.0%

Most occurring characters

Value Count Frequency (%)
l 34
 
10.9%
34
 
10.9%
1 19
 
6.1%
e 17
 
5.4%
g 17
 
5.4%
r 17
 
5.4%
h 17
 
5.4%
c 17
 
5.4%
a 17
 
5.4%
u 17
 
5.4%
Other values (13) 106
34.0%

Most occurring categories

Value Count Frequency (%)
Lowercase Letter 204
65.4%
Decimal Number 54
 
17.3%
Space Separator 34
 
10.9%
Other Punctuation 20
 
6.4%

Most frequent character per category

Lowercase Letter
Value Count Frequency (%)
l 34
16.7%
e 17
8.3%
g 17
8.3%
r 17
8.3%
h 17
8.3%
c 17
8.3%
a 17
8.3%
u 17
8.3%
f 17
8.3%
m 17
8.3%
Decimal Number
Value Count Frequency (%)
1 19
35.2%
3 10
18.5%
0 9
16.7%
2 6
 
11.1%
4 3
 
5.6%
6 3
 
5.6%
8 2
 
3.7%
9 1
 
1.9%
5 1
 
1.9%
Other Punctuation
Value Count Frequency (%)
/ 17
85.0%
. 3
 
15.0%
Space Separator
Value Count Frequency (%)
34
100.0%

Most occurring scripts

Value Count Frequency (%)
Latin 204
65.4%
Common 108
34.6%

Most frequent character per script

Common
Value Count Frequency (%)
34
31.5%
1 19
17.6%
/ 17
15.7%
3 10
 
9.3%
0 9
 
8.3%
2 6
 
5.6%
4 3
 
2.8%
. 3
 
2.8%
6 3
 
2.8%
8 2
 
1.9%
Other values (2) 2
 
1.9%
Latin
Value Count Frequency (%)
l 34
16.7%
e 17
8.3%
g 17
8.3%
r 17
8.3%
h 17
8.3%
c 17
8.3%
a 17
8.3%
u 17
8.3%
f 17
8.3%
m 17
8.3%

Most occurring blocks

Value Count Frequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
Value Count Frequency (%)
l 34
 
10.9%
34
 
10.9%
1 19
 
6.1%
e 17
 
5.4%
g 17
 
5.4%
r 17
 
5.4%
h 17
 
5.4%
c 17
 
5.4%
a 17
 
5.4%
u 17
 
5.4%
Other values (13) 106
34.0%

Interactions

2022-05-22T01:09:56.093959 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:48.462434 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:50.444650 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:52.293734 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:54.130490 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:56.449953 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:48.994366 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:50.812664 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:52.655662 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:54.498425 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:56.812335 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:49.354772 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:51.173235 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:53.028548 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:54.861014 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:57.180181 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:49.719183 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:51.540583 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:53.398823 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:55.235889 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:57.546118 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:50.076149 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:51.926671 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:53.768165 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
2022-05-22T01:09:55.603723 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-05-22T01:11:32.290621 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-22T01:11:32.728428 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-22T01:11:33.158277 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-22T01:11:33.828487 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-22T01:09:59.642601 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-22T01:10:08.237605 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-22T01:10:19.725349 image/svg+xml Matplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

Unnamed: 0 Make Model Variant Ex-Showroom_Price Displacement Cylinders Valves_Per_Cylinder Drivetrain Cylinder_Configuration Emission_Norm Engine_Location Fuel_System Fuel_Tank_Capacity Fuel_Type Height Length Width Body_Type Doors City_Mileage Highway_Mileage ARAI_Certified_Mileage ARAI_Certified_Mileage_for_CNG Kerb_Weight Gears Ground_Clearance Front_Brakes Rear_Brakes Front_Suspension Rear_Suspension Front_Track Rear_Track Front_Tyre_&_Rim Rear_Tyre_&_Rim Power_Steering Power_Windows Power_Seats Keyless_Entry Power Torque Odometer Speedometer Tachometer Tripmeter Seating_Capacity Seats_Material Type Wheelbase Wheels_Size Start_/_Stop_Button 12v_Power_Outlet Audiosystem Aux-in_Compatibility Average_Fuel_Consumption Basic_Warranty Bluetooth Boot-lid_Opener Boot_Space CD_/_MP3_/_DVD_Player Central_Locking Child_Safety_Locks Clock Cup_Holders Distance_to_Empty Door_Pockets Engine_Malfunction_Light Extended_Warranty FM_Radio Fuel-lid_Opener Fuel_Gauge Handbrake Instrument_Console Low_Fuel_Warning Minimum_Turning_Radius Multifunction_Display Sun_Visor Third_Row_AC_Vents Ventilation_System Auto-Dimming_Rear-View_Mirror Hill_Assist Gear_Indicator 3_Point_Seat-Belt_in_Middle_Rear_Seat Ambient_Lightning Cargo/Boot_Lights Drive_Modes Engine_Immobilizer High_Speed_Alert_System Lane_Watch_Camera/_Side_Mirror_Camera Passenger_Side_Seat-Belt_Reminder Seat_Back_Pockets Voice_Recognition Walk_Away_Auto_Car_Lock ABS_(Anti-lock_Braking_System) Headlight_Reminder Adjustable_Headrests Gross_Vehicle_Weight Airbags Door_Ajar_Warning EBD_(Electronic_Brake-force_Distribution) Fasten_Seat_Belt_Warning Gear_Shift_Reminder Number_of_Airbags Compression_Ratio Adjustable_Steering_Column Other_Specs Other_specs Parking_Assistance Key_Off_Reminder USB_Compatibility Android_Auto Apple_CarPlay Cigarette_Lighter Infotainment_Screen Multifunction_Steering_Wheel Average_Speed EBA_(Electronic_Brake_Assist) Seat_Height_Adjustment Navigation_System Second_Row_AC_Vents Tyre_Pressure_Monitoring_System Rear_Center_Armrest iPod_Compatibility ESP_(Electronic_Stability_Program) Cooled_Glove_Box Recommended_Tyre_Pressure Heated_Seats Turbocharger ISOFIX_(Child-Seat_Mount) Rain_Sensing_Wipers Paddle_Shifters Leather_Wrapped_Steering Automatic_Headlamps Engine_Type ASR_/_Traction_Control Cruise_Control USB_Ports Heads-Up_Display Welcome_Lights Battery Electric_Range
0 0 Tata Nano Genx Xt Rs. 2,92,667 624 cc 2.0 2.0 RWD (Rear Wheel Drive) In-line BS IV Rear, Transverse Injection 24 litres Petrol 1652 mm 3164 mm 1750 mm Hatchback 5.0 ?23.6 km/litre NaN 23.6 km/litre NaN 660 kg 4 180 mm Drum Drum Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar Independent, Semi Trailing arm with coil spring & gas filled shock absorbers 1325 mm 1315 mm 135/70R12 155/65R12 Electric Power Only Front Windows NaN Remote 38PS@5500rpm 51Nm@4000rpm Digital Analog Not on offer Yes 4.0 Fabric Manual 2230 mm 4 B X 12 Yes Yes CD Player with USB & Aux-in Yes Yes 2 years /75000 Kms (years/distance whichever comes first) Yes Internal 110 litres Yes Yes Yes Digital Front Yes Front Yes 2 years /150000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 4 meter Yes Driver & Front Passenger Not Applicable Manual Air conditioning with cooling and heating NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 1 Tata Nano Genx Xe Rs. 2,36,447 624 cc 2.0 2.0 RWD (Rear Wheel Drive) In-line BS IV Rear, Transverse Injection 24 litres Petrol 1652 mm 3164 mm 1750 mm Hatchback 5.0 ?23.6 km/litre NaN 23.6 km/litre NaN 725 kg 4 180 mm Drum Drum Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar Independent, Semi Trailing arm with coil spring & gas filled shock absorbers 1325 mm 1315 mm 135/70R12 155/65R12 NaN NaN NaN NaN 38PS@5500rpm 51Nm@4000rpm Digital Analog Not on offer Yes 4.0 Fabric Manual 2230 mm 4 B X 12 NaN Yes Not on offer NaN Yes 2 years /75000 Kms (years/distance whichever comes first) NaN Internal 110 litres NaN NaN Yes Digital Front Yes Front Yes 2 years /150000 Kms (years/distance whichever comes first) NaN Internal Digital Manual Analog + Digital Yes 4 meter Yes Driver & Front Passenger Not Applicable NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 2 Tata Nano Genx Emax Xm Rs. 2,96,661 624 cc 2.0 2.0 RWD (Rear Wheel Drive) In-line BS IV Rear, Transverse Injection 15 litres CNG 1652 mm 3164 mm 1750 mm Hatchback 4.0 NaN NaN NaN 36 km/kg 710 kg 4 180 mm Drum Drum Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar Independent, Semi Trailing arm with coil spring & gas filled shock absorbers 1325 mm 1315 mm 135/70R12 155/65R12 Electric Power NaN NaN NaN 38PS@5500rpm 51Nm@4000rpm Digital Analog Not on offer Yes 4.0 Fabric Manual 2230 mm 4 B X 12 NaN Yes Not on offer NaN Yes 2 years /75000 Kms (years/distance whichever comes first) NaN Internal 110 litres NaN NaN Yes Digital Front Yes Front Yes 2 years /150000 Kms (years/distance whichever comes first) NaN Internal Digital Manual Analog + Digital Yes 4 meter Yes Driver & Front Passenger Not Applicable Air Conditioning with cooling only Yes Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
3 3 Tata Nano Genx Xta Rs. 3,34,768 624 cc 2.0 2.0 RWD (Rear Wheel Drive) In-line BS IV Rear, Transverse Injection 24 litres Petrol 1652 mm 3164 mm 1750 mm Hatchback 5.0 ?23.6 km/litre NaN 21.9 km/litre NaN 725 kg 5 180 mm Drum Drum Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar Independent, Semi Trailing arm with coil spring & gas filled shock absorbers 1325 mm 1315 mm 135/70R12 155/65R12 Electric Power Only Front Windows NaN Remote 38PS@5500rpm 51Nm@4000rpm Digital Analog Not on offer Yes 4.0 Fabric Automatic 2230 mm 4 B X 12 Yes Yes CD Player with USB & Aux-in Yes Yes 2 years /75000 Kms (years/distance whichever comes first) Yes Internal 94 litres Yes Yes Yes Digital Front Yes Front Yes 2 years /150000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 4 meter Yes Driver & Front Passenger Not Applicable Manual Air conditioning with cooling and heating NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
4 4 Tata Nano Genx Xm Rs. 2,72,223 624 cc 2.0 2.0 RWD (Rear Wheel Drive) In-line BS IV Rear, Transverse Injection 24 litres Petrol 1652 mm 3164 mm 1750 mm Hatchback 5.0 ?23.6 km/litre NaN 23.6 km/litre NaN 725 kg 4 180 mm Drum Drum Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar Independent, Semi Trailing arm with coil spring & gas filled shock absorbers 1325 mm 1315 mm 135/70R12 155/65R12 Electric Power NaN NaN NaN 38PS@5500rpm 51Nm@4000rpm Digital Analog Not on offer Yes 4.0 Fabric Manual 2230 mm 4 B X 12 NaN Yes Not on offer NaN Yes 2 years /75000 Kms (years/distance whichever comes first) NaN Internal 110 litres NaN NaN Yes Digital Front Yes Front Yes 2 years /150000 Kms (years/distance whichever comes first) NaN Internal Digital Manual Analog + Digital Yes 4 meter Yes Driver & Front Passenger Not Applicable Air Conditioning with cooling only NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
5 5 Tata Nano Genx Xma Rs. 3,14,815 624 cc 2.0 2.0 RWD (Rear Wheel Drive) In-line BS IV Rear, Transverse Injection 24 litres Petrol 1652 mm 3164 mm 1750 mm Hatchback 5.0 ?23.6 km/litre NaN 21.9 km/litre NaN 710 kg 5 180 mm Drum Drum Independent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar Independent, Semi Trailing arm with coil spring & gas filled shock absorbers 1325 mm 1315 mm 135/70R12 155/65R12 Electric Power NaN NaN NaN 38PS@5500rpm 51Nm@4000rpm Digital Analog Not on offer Yes 4.0 Fabric Automatic 2230 mm 4 B X 12 NaN Yes Not on offer NaN Yes 2 years /75000 Kms (years/distance whichever comes first) NaN Internal 94 litres NaN NaN Yes Digital Not on offer Yes Front Yes 2 years /150000 Kms (years/distance whichever comes first) NaN Internal Digital Manual Analog + Digital Yes 4 meter Yes Driver & Front Passenger Not Applicable Air Conditioning with cooling only NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
6 6 Datsun Redi-Go D Rs. 2,79,650 799 cc 3.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 28 litres Petrol 1541 mm 3429 mm 1560 mm Hatchback 5.0 21.38 km/litre 24 km/litre 25.17 km/litre NaN NaN 5 185 mm Ventilated Disc Drum Double Pivot Arm H-type Torsion Beam NaN NaN 80/155R13 80/155R13 NaN NaN NaN NaN 54PS@5678rpm 72Nm@4386rpm Digital Analog Digital Yes 5.0 Fabric Manual 2348 mm 80/155R13 NaN Yes Not on offer NaN Yes 2 years / Unlimited Kms NaN Internal 222 litres NaN NaN Yes NaN Not on offer Yes NaN Yes 2 Years/Unlimited Kms (Whichever comes earlier) NaN Internal Digital Manual Analog + Digital Yes 4.7 meter Yes Driver & Front Passenger Not Applicable Yes NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
7 7 Datsun Redi-Go T Rs. 3,51,832 799 cc 3.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 28 litres Petrol 1541 mm 3429 mm 1560 mm Hatchback 5.0 21.38 km/litre 24 km/litre 25.17 km/litre NaN NaN 5 185 mm Ventilated Disc Drum Double Pivot Arm H-type Torsion Beam NaN NaN 80/155R13 80/155R13 Electric Power Only Front Windows NaN NaN 54PS@5678rpm 72Nm@4386rpm Digital Analog Digital Yes 5.0 Fabric Manual 2348 mm 80/155R13 NaN Yes CD Player with USB & Aux-in Yes Yes 2 years / Unlimited Kms NaN Internal 222 litres Yes Yes Yes NaN Front Yes Front Yes 2 Years/Unlimited Kms (Whichever comes earlier) Yes Internal Digital Manual Analog + Digital Yes 4.7 meter Yes Driver & Front Passenger Not Applicable Manual Air conditioning with cooling and heating NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
8 8 Datsun Redi-Go A Rs. 3,33,419 799 cc 3.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 28 litres Petrol 1541 mm 3429 mm 1560 mm Hatchback 5.0 21.38 km/litre 24 km/litre 25.17 km/litre NaN NaN 5 185 mm Ventilated Disc Drum Double Pivot Arm H-type Torsion Beam NaN NaN 80/155R13 80/155R13 Electric Power NaN NaN NaN 54PS@5678rpm 72Nm@4386rpm Digital Analog Digital Yes 5.0 Fabric Manual 2348 mm 80/155R13 NaN Yes Not on offer NaN Yes 2 years / Unlimited Kms NaN Internal 222 litres NaN NaN Yes NaN Front Yes Front Yes 2 Years/Unlimited Kms (Whichever comes earlier) NaN Internal Digital Manual Analog + Digital Yes 4.7 meter Yes Driver & Front Passenger Not Applicable Manual Air conditioning with cooling and heating NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
9 9 Datsun Redi-Go S Rs. 3,62,000 799 cc 3.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 28 litres Petrol 1541 mm 3429 mm 1560 mm Hatchback 5.0 21.38 km/litre 24 km/litre 25.17 km/litre NaN NaN 5 185 mm Ventilated Disc Drum Double Pivot Arm H-type Torsion Beam NaN NaN 80/155R13 80/155R13 Electric Power NaN NaN NaN 54PS@5678rpm 72Nm@4386rpm Digital Analog Digital Yes 5.0 Fabric Manual 2348 mm 80/155R13 NaN Yes CD Player with USB & Aux-in Yes Yes 2 years / Unlimited Kms NaN With Remote, Internal 222 litres Yes NaN Yes NaN Not on offer Yes NaN Yes 2 Years/Unlimited Kms (Whichever comes earlier) Yes Internal Digital Manual Analog + Digital Yes 4.7 meter Yes Driver & Front Passenger Not Applicable Manual Air conditioning with cooling and heating NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN Rear sensors NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN

Last rows

Unnamed: 0 Make Model Variant Ex-Showroom_Price Displacement Cylinders Valves_Per_Cylinder Drivetrain Cylinder_Configuration Emission_Norm Engine_Location Fuel_System Fuel_Tank_Capacity Fuel_Type Height Length Width Body_Type Doors City_Mileage Highway_Mileage ARAI_Certified_Mileage ARAI_Certified_Mileage_for_CNG Kerb_Weight Gears Ground_Clearance Front_Brakes Rear_Brakes Front_Suspension Rear_Suspension Front_Track Rear_Track Front_Tyre_&_Rim Rear_Tyre_&_Rim Power_Steering Power_Windows Power_Seats Keyless_Entry Power Torque Odometer Speedometer Tachometer Tripmeter Seating_Capacity Seats_Material Type Wheelbase Wheels_Size Start_/_Stop_Button 12v_Power_Outlet Audiosystem Aux-in_Compatibility Average_Fuel_Consumption Basic_Warranty Bluetooth Boot-lid_Opener Boot_Space CD_/_MP3_/_DVD_Player Central_Locking Child_Safety_Locks Clock Cup_Holders Distance_to_Empty Door_Pockets Engine_Malfunction_Light Extended_Warranty FM_Radio Fuel-lid_Opener Fuel_Gauge Handbrake Instrument_Console Low_Fuel_Warning Minimum_Turning_Radius Multifunction_Display Sun_Visor Third_Row_AC_Vents Ventilation_System Auto-Dimming_Rear-View_Mirror Hill_Assist Gear_Indicator 3_Point_Seat-Belt_in_Middle_Rear_Seat Ambient_Lightning Cargo/Boot_Lights Drive_Modes Engine_Immobilizer High_Speed_Alert_System Lane_Watch_Camera/_Side_Mirror_Camera Passenger_Side_Seat-Belt_Reminder Seat_Back_Pockets Voice_Recognition Walk_Away_Auto_Car_Lock ABS_(Anti-lock_Braking_System) Headlight_Reminder Adjustable_Headrests Gross_Vehicle_Weight Airbags Door_Ajar_Warning EBD_(Electronic_Brake-force_Distribution) Fasten_Seat_Belt_Warning Gear_Shift_Reminder Number_of_Airbags Compression_Ratio Adjustable_Steering_Column Other_Specs Other_specs Parking_Assistance Key_Off_Reminder USB_Compatibility Android_Auto Apple_CarPlay Cigarette_Lighter Infotainment_Screen Multifunction_Steering_Wheel Average_Speed EBA_(Electronic_Brake_Assist) Seat_Height_Adjustment Navigation_System Second_Row_AC_Vents Tyre_Pressure_Monitoring_System Rear_Center_Armrest iPod_Compatibility ESP_(Electronic_Stability_Program) Cooled_Glove_Box Recommended_Tyre_Pressure Heated_Seats Turbocharger ISOFIX_(Child-Seat_Mount) Rain_Sensing_Wipers Paddle_Shifters Leather_Wrapped_Steering Automatic_Headlamps Engine_Type ASR_/_Traction_Control Cruise_Control USB_Ports Heads-Up_Display Welcome_Lights Battery Electric_Range
1266 1266 Honda City V Mt Petrol Rs. 10,65,900 1497 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS 6 Front, Transverse Injection 40 litres Petrol 1495 mm 4440 mm 1695 mm Sedan 4.0 14.3 km/litre 16.4 km/litre 17.8 km/litre NaN 1061 kg 5 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle, Coil Spring 1490 mm 1480 mm 175/65R15 175/65R15 Electric Power All Windows NaN Remote 119PS@6600rpm 145Nm@4600rpm Digital Analog Analog 2 5.0 Fabric Manual 2600 mm 175/65R15 Yes 3 CD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes Internal 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes Yes NaN NaN Yes Yes Front Row 1436 kg Driver frontal airbag, Front passenger frontal airbag Yes Yes Yes NaN 2.0 10.4:1 Rake NaN NaN Front and rear sensors with camera Yes Yes NaN NaN Yes Touch Sensitive Multifunction Steering Wheel Yes NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN
1267 1267 Honda City Vx Mt Petrol Rs. 11,82,000 1497 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS 6 Front, Transverse Injection 40 litres Petrol 1495 mm 4440 mm 1695 mm Sedan 4.0 14.3 km/litre 16.1 km/litre 17.4 km/litre NaN 1084 kg 5 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle, Coil Spring 1475 mm 1465 mm 185/55R16 185/55R16 Electric Power All Windows NaN Smart Key 119PS@6600rpm 145Nm@4600rpm Digital Analog Analog 2 5.0 Leather Manual 2600 mm 185/55R16 Yes 3 DVD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes Internal, With Remote 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes Yes NaN NaN Yes Yes Front Row 1459 kg Driver frontal airbag, Front passenger frontal airbag Yes Yes Yes NaN 2.0 10.4:1 Rake NaN NaN Front and rear sensors with camera Yes Yes NaN NaN Yes Touch Sensitive Multifunction Steering Wheel Yes NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN NaN NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN Yes NaN NaN NaN NaN NaN
1268 1268 Honda City Vx Cvt Petrol Rs. 13,12,000 1497 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS 6 Front, Transverse Injection 40 litres Petrol 1495 mm 4440 mm 1695 mm Sedan 4.0 14.3 km/litre 16.1 km/litre 18 km/litre NaN 1100 kg 5 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle,Coil Spring 1475 mm 1465 mm 185/55R16 185/55R16 Electric Power All Windows NaN Smart Key 119PS@6600rpm 145Nm@4600rpm Digital Analog Analog 2 5.0 Leather Automatic 2600 mm 185/55R16 Yes 3 CD/MP3/DVD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes With Remote, Internal 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN Yes NaN NaN NaN NaN Yes Yes NaN Yes Yes NaN NaN Yes Yes Front Row 1475 kg Driver frontal airbag, Front passenger frontal airbag Yes Yes Yes Yes 2.0 10.4:1 Rake NaN NaN Front and rear sensors with camera Yes Yes NaN NaN Yes Touch Sensitive Multifunction Steering Wheel NaN NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN NaN NaN NaN NaN Yes NaN Yes Yes NaN NaN NaN Yes NaN NaN NaN NaN NaN
1269 1269 Honda City Sv Mt Diesel Rs. 11,11,000 1498 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 40 litres Diesel 1495 mm 4440 mm 1695 mm Sedan 4.0 22.6 km/litre 25.6 km/litre 25.6 km/litre NaN 1147 kg 6 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle, Coil Spring 1490 mm 1480 mm 175/65R15 175/65R15 Electric Power All Windows NaN Remote 100PS@3600rpm 200Nm@1750rpm Digital Analog Analog 2 5.0 Fabric Manual 2600 mm 175/65R15 NaN 1 USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes Internal 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes NaN NaN NaN Yes Yes Front Row 1522 kg Driver frontal airbag, Front passenger frontal airbag Yes Yes Yes NaN 2.0 10.4:1 Rake NaN NaN NaN Yes Yes NaN NaN NaN NaN Multifunction Steering Wheel Yes NaN Manual Adjustment NaN Yes NaN Cup Holders Yes NaN NaN NaN NaN Yes Yes NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
1270 1270 Honda City V Mt Diesel Rs. 11,91,000 1498 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 40 litres Diesel 1495 mm 4440 mm 1695 mm Sedan 4.0 22.6 km/litre 25.6 km/litre 25.6 km/litre NaN 1148 kg 6 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle, Coil Spring 1490 mm 1480 mm 175/65R15 175/65R15 Electric Power All Windows NaN Remote 100PS@3600rpm 200Nm@1750rpm Digital Analog Analog 2 5.0 Fabric Manual 2600 mm 175/65R15 Yes 3 CD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes Internal 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes NaN NaN NaN Yes Yes Front Row 1523 kg Driver frontal airbag, Front passenger frontal airbag Yes Yes Yes NaN 2.0 10.4:1 Rake NaN NaN Front and rear sensors with camera Yes Yes NaN NaN Yes Touch Sensitive Multifunction Steering Wheel Yes NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN NaN NaN NaN Yes Yes NaN NaN NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN
1271 1271 Honda City Vx Mt Diesel Rs. 13,02,000 1498 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 40 litres Diesel 1495 mm 4440 mm 1695 mm Sedan 4.0 22.6 km/litre 25.1 km/litre 25.1 km/litre NaN 1170 kg 6 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle, Coil Spring 1475 mm 1465 mm 185/55R16 185/55R16 Electric Power All Windows NaN Smart Key 100PS@3600rpm 200Nm@1750rpm Digital Analog Analog 2 5.0 Leather Manual 2600 mm 185/55R16 Yes 3 DVD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes Internal, With Remote 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes NaN Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes Yes NaN NaN Yes Yes Front Row 1545 kg Driver frontal airbag, Front passenger frontal airbag Yes Yes Yes NaN 2.0 10.4:1 Rake NaN NaN Front and rear sensors with camera Yes Yes NaN NaN Yes Touch Sensitive Multifunction Steering Wheel Yes NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN NaN NaN NaN Yes Yes NaN NaN Yes NaN NaN NaN Yes NaN NaN NaN NaN NaN
1272 1272 Honda City Zx Mt Diesel Rs. 14,21,000 1498 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS IV Front, Transverse Injection 40 litres Diesel 1495 mm 4440 mm 1695 mm Sedan 4.0 22.6 km/litre 25.1 km/litre 25.1 km/litre NaN 1175 kg 6 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle, Coil Spring 1475 mm 1465 mm 185/55R16 185/55R16 Electric Power All Windows NaN Smart Key 100PS@3600rpm 200Nm@1750rpm Digital Analog Analog 2 5.0 Leather Manual 2600 mm 185/55R16 Yes 3 DVD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes With Remote, Internal 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes Yes NaN NaN Yes Yes Front Row 1550 kg Drive side airbag, Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag Yes Yes Yes NaN 6.0 10.4:1 Rake NaN NaN Rear sensors with camera Yes Yes NaN NaN Yes Touch Sensitive Multifunction Steering Wheel Yes NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN Yes NaN NaN Yes Yes Yes NaN Yes Yes NaN NaN Yes NaN NaN NaN NaN NaN
1273 1273 Honda City Zx Cvt Petrol Rs. 14,31,000 1497 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS 6 Front, Transverse Injection 40 litres Petrol 1495 mm 4440 mm 1695 mm Sedan 4.0 18 km/litre 18 km/litre 22.6 km/litre NaN 1107 kg 5 165 mm Ventilated Disc Drum McPherson strut,coil spring Torsion Beam Axle, Coil Spring 1475 mm 1465 mm 185/55R16 185/55R16 Electric Power All Windows NaN Smart Key 119PS@6600rpm 145Nm@4600rpm Digital Analog Analog 2 5.0 Leather Automatic 2600 mm 185/55R16 Yes 3 DVD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes Internal, With Remote 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes Yes NaN NaN Yes Yes Front Row 1482 kg Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbag Yes Yes Yes NaN 6.0 10.4:1 Rake NaN NaN Rear sensors with camera Yes Yes NaN NaN NaN Touch Sensitive Multifunction Steering Wheel Yes NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN NaN NaN NaN NaN Yes NaN Yes Yes Yes NaN NaN Yes NaN NaN NaN NaN NaN
1274 1274 Honda City V Cvt Petrol Rs. 12,01,000 1497 cc 4.0 4.0 FWD (Front Wheel Drive) In-line BS 6 Front, Transverse Injection 40 litres Petrol 1495 mm 4440 mm 1695 mm Sedan 4.0 14.3 km/litre 16.4 km/litre 17.8 km/litre NaN 1080 kg 5 165 mm Ventilated Disc Drum McPherson Strut, Coil Spring Torsion Beam Axle, Coil Spring 1490 mm 1480 mm 175/65R15 175/65R15 Electric Power All Windows NaN Remote 119PS@6600rpm 145Nm@4600rpm Digital Analog Analog 2 5.0 Fabric Automatic 2600 mm 175/65R15 NaN 3 CD Player with USB & Aux-in Yes Yes 2 Years / 40,000 Kms (Whichever comes earlier) Yes Internal 510 litres Yes Yes Yes Digital Front & Rear Yes Front & Rear Yes 1 years /20000 Kms (years/distance whichever comes first) Yes Internal Digital Manual Analog + Digital Yes 5.3 meter Yes Driver & Front Passenger Not Applicable Fully automatic climate control Yes NaN NaN NaN NaN NaN NaN Yes Yes NaN Yes NaN NaN NaN Yes Yes Front Row 1455 kg Driver frontal airbag, Front passenger frontal airbag Yes Yes Yes NaN 2.0 10.4:1 Rake NaN NaN Front and rear sensors with camera Yes Yes NaN NaN NaN Touch Sensitive Multifunction Steering Wheel Yes NaN Manual Adjustment Yes Yes NaN Cup Holders Yes NaN NaN NaN NaN NaN Yes NaN Yes NaN NaN NaN NaN Yes NaN NaN NaN NaN NaN
1275 1275 Mitsubishi Montero 3.2 At Rs. 68,62,560 3200 cc 4.0 4.0 AWD (All Wheel Drive) In-line BS IV Front, Longitudinal Injection 88 litres Diesel 1900 mm 4900 mm 1875 mm SUV 5.0 8.25 km/litre 11.56 km/litre 11.56 km/litre NaN 2335 kg 5 235 mm Ventilated Disc Ventilated Disc Double wishbone coil springs with stabilizer bar Multi-link coil springs with stabilizer bar 1560 mm 1560 mm 265/65R18 265/65R18 Electric Power All Windows Yes Yes 202ps@3800rpm 441Nm@2000rpm Analog Analog, Digital Analog Yes 7.0 Leather Automatic 2780 mm 18 Yes Yes CD Player with USB & Aux-in Yes Yes NaN Yes Internal 1050 litres Yes Yes Yes Digital Centre Yes Yes Yes NaN Yes Internal Analog Manual Analog Yes 5.7 meter Yes Driver & Front Passenger Yes Fully automatic climate control NaN Yes Yes NaN NaN NaN NaN Yes NaN NaN NaN Yes NaN NaN Yes Yes All Rows 3110 kg Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbag, Curtain airbags Yes Yes Yes Yes 6.0 NaN Rake, Reach NaN Air Conditioner : Standard Rear sensors with camera Yes Yes NaN NaN Yes Touch Sensitive Multifunction Steering Wheel Yes Yes Electric Adjustment Yes Yes NaN Cup Holders Yes Yes Yes NaN Only front Yes Yes Yes NaN Yes NaN NaN Yes Yes NaN NaN NaN NaN NaN